{ "_meta": { "measured": "2026-08-11", "population": "skills/**/references/**/*.md (389 files)", "class": "a stated count of MCP tool calls made while researching THIS document", "buckets": { "konsistent": "total stated + breakdown stated + they agree under the only reasonable reading", "inkonsistent": "total stated + breakdown stated + they disagree under every reasonable reading", "tvetydig": "total stated + breakdown stated, verdict flips between two defensible readings", "ikke_sjekkbar": "no internal cross-check exists (bare total, breakdown without total, or a component with no number)" }, "flags": "orthogonal to bucket: provenance_mix, label_value_mismatch, prose_repeat, direction_stated_gt_enumerated" }, "members": [ { "f": "skills/ms-ai-advisor/references/copilot-extensibility/adaptive-cards-copilot-responses.md", "l": 517, "a": "**MCP calls:** 3 docs_search, 2 docs_fetch, 1 code_sample_search", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/copilot-api-rate-limiting-resilience.md", "l": 496, "a": "**MCP Calls:** 6 (3 searches, 2 fetches, 1 code sample search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/declarative-agents-grounding-strategies.md", "l": 461, "a": "**MCP-kall:** 7 (3 search, 3 fetch, 1 code sample search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/enterprise-governance-copilot-deployment.md", "l": 920, "a": "- 3 microsoft_docs_search calls", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 919, 922 ] }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/microsoft-graph-api-copilot-integration.md", "l": 544, "a": "**MCP calls:** 7 (3x docs_search, 2x docs_fetch, 1x code_sample_search, 1x ToolSearch)", "b": "tvetydig", "flags": [ "provenance_mix" ], "form": "line" }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/sharepoint-copilot-agents.md", "l": 356, "a": "**MCP-calls:** 5 (3 search + 2 fetch).", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/copilot-extensibility/teams-copilot-message-extensions.md", "l": 469, "a": "**MCP-kall utført:** 6 (3 search, 2 fetch, 1 code sample search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/prompt-engineering/chain-of-thought-prompting.md", "l": 500, "a": "**Totalt:** 4 MCP-kall, 3 unike Microsoft Learn-kilder.", "b": "inkonsistent", "flags": [ "direction_stated_gt_enumerated" ], "form": "block", "span": [ 494, 500 ], "stated": 4, "enumerated": 3, "delta": 1 }, { "f": "skills/ms-ai-advisor/references/prompt-engineering/domain-specific-prompt-optimization.md", "l": 589, "a": "- **MCP-søk** — 3 søk mot microsoft-learn (2026-02-04)", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 587, 591 ] }, { "f": "skills/ms-ai-advisor/references/prompt-engineering/multi-turn-conversation-management.md", "l": 683, "a": "**MCP calls:** 5 (search + fetch)", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-advisor/references/prompt-engineering/prompt-testing-and-evaluation.md", "l": 1080, "a": "**MCP Calls:** 3 (microsoft_docs_search × 2, microsoft_docs_fetch × 2, microsoft_code_sample_search × 1)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 3, "enumerated": 5, "delta": -2 }, { "f": "skills/ms-ai-engineering/references/agent-orchestration/agent-evaluation-testing-frameworks.md", "l": 563, "a": "- **MCP calls:** 3 (microsoft_docs_search) + 2 (microsoft_docs_fetch) + 1 (microsoft_code_sample_search) = 6", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/agent-orchestration/agent-memory-and-context-management.md", "l": 535, "a": "**MCP calls**: 6 (3x microsoft_docs_search, 2x microsoft_docs_fetch, 1x microsoft_code_sample_search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/agent-orchestration/foundry-workflows-visual-orchestration.md", "l": 651, "a": "**MCP calls**: 4 (2x docs_search, 2x docs_fetch)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/agent-orchestration/multi-agent-orchestration-patterns.md", "l": 720, "a": "**Total MCP calls:** 6 (3 microsoft_docs_search + 2 microsoft_docs_fetch + 1 microsoft_code_sample_search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/ai-services-api-best-practices.md", "l": 762, "a": "**MCP call summary:** 7 microsoft_docs_search + 4 microsoft_docs_fetch + 1 microsoft_code_sample_search = 12 total MCP calls", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/ai-services-cost-optimization.md", "l": 396, "a": "**Total MCP calls:** 6", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/ai-services-governance-compliance.md", "l": 753, "a": "**Total antall MCP-kall:** 8 (4 docs_search + 4 docs_fetch)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/ai-services-networking-security.md", "l": 620, "a": "**MCP calls:** 7 (microsoft_docs_search, microsoft_docs_fetch, microsoft_code_sample_search)", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/azure-ai-vision-image-analysis.md", "l": 392, "a": "**MCP-kall totalt:** 4 (3 docs_search + 1 code_sample_search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/document-intelligence-prebuilt-models.md", "l": 565, "a": "**Totalt MCP-kall:** 5 (3× search, 2× fetch, 1× code samples)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 5, "enumerated": 6, "delta": -1 }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/speech-services-text-to-speech.md", "l": 538, "a": "**Totalt antall MCP-kall:** 7 (4 × docs_search, 3 × docs_fetch, 1 × code_sample_search)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 7, "enumerated": 8, "delta": -1 }, { "f": "skills/ms-ai-engineering/references/azure-ai-services/translator-document-translation.md", "l": 402, "a": "**Total MCP calls:** 4 (docs_search) + 3 (docs_fetch) = **7**", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/data-drift-monitoring-detection.md", "l": 378, "a": "**MCP Calls:** 5 (3 × microsoft_docs_search, 1 × microsoft_docs_fetch, 1 × microsoft_code_sample_search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/genaiops-llm-specific-practices.md", "l": 383, "a": "**Totalt:** 18 kilder, 8 MCP-kall.", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/inferencing-optimization-caching.md", "l": 1005, "a": "**Total MCP-kall:** 7 (docs search) + 3 (docs fetch) + 2 (code samples) = **12**", "b": "konsistent", "flags": [ "prose_repeat" ], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/infrastructure-as-code-mlops.md", "l": 933, "a": "- **microsoft_docs_search calls:** 4", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 932, 935 ] }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/mlops-security-access-control.md", "l": 744, "a": "**MCP Calls:** 8 (microsoft-learn docs search + fetch, code samples)", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/mlops-teams-collaboration-tools.md", "l": 738, "a": "**Totalt antall MCP-kall:** 6 (3x search, 2x fetch, 1x code samples)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/model-deployment-strategies-azure.md", "l": 1067, "a": "**MCP-kall utført:** 8 (microsoft_docs_search × 5, microsoft_docs_fetch × 2, microsoft_code_sample_search × 1)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/model-versioning-registry-management.md", "l": 580, "a": "- **Total searches:** 3 (Azure ML registry, AI Foundry, MLOps lifecycle)", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 579, 582 ] }, { "f": "skills/ms-ai-engineering/references/mlops-genaiops/responsible-ai-mlops-integration.md", "l": 733, "a": "**MCP-calls brukt:** 6 (microsoft_docs_search x 3, microsoft_docs_fetch x 2, microsoft_code_sample_search x 1)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/rag-architecture/rag-cost-optimization.md", "l": 558, "a": "**MCP calls:** 3 (search) + 2 (fetch) = 5 total", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-engineering/references/rag-architecture/rag-document-preprocessing.md", "l": 791, "a": "**Totalt antall MCP-kilder:** 3 docs_search calls + 2 docs_fetch calls = **5 MCP-kall**", "b": "konsistent", "flags": [ "label_value_mismatch" ], "form": "line" }, { "f": "skills/ms-ai-governance/references/monitoring-observability/real-time-streaming-monitoring.md", "l": 560, "a": "**MCP calls:** 6 (3 × search, 2 × fetch, 1 × code search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-governance/references/monitoring-observability/response-quality-metrics-rag.md", "l": 637, "a": "**MCP research calls:** 3 (microsoft_docs_search × 3, microsoft_docs_fetch × 2, microsoft_code_sample_search × 1)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 3, "enumerated": 6, "delta": -3 }, { "f": "skills/ms-ai-governance/references/responsible-ai/ai-act-annex-iii-checklist.md", "l": 523, "a": "- `microsoft_docs_search`: 2 queries (EU AI Act compliance, Purview AI governance)", "b": "ikke_sjekkbar", "flags": [ "provenance_mix" ], "form": "block", "span": [ 521, 525 ] }, { "f": "skills/ms-ai-governance/references/responsible-ai/ai-act-compliance-guide.md", "l": 733, "a": "- `microsoft_docs_search`: 3 queries (EU AI Act compliance, governance, risk classification)", "b": "ikke_sjekkbar", "flags": [ "provenance_mix" ], "form": "block", "span": [ 732, 735 ] }, { "f": "skills/ms-ai-governance/references/responsible-ai/ai-impact-assessment-framework.md", "l": 653, "a": "**Antall dokumenter søkt:** 4 (search queries) + 2 (deep fetch)", "b": "ikke_sjekkbar", "flags": [ "label_value_mismatch" ], "form": "line" }, { "f": "skills/ms-ai-governance/references/responsible-ai/ai-risk-taxonomy-classification.md", "l": 460, "a": "- **microsoft_docs_search:** 3 calls (AI risk classification, AI Act levels, Azure framework)", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 458, 463 ] }, { "f": "skills/ms-ai-governance/references/responsible-ai/algorithmic-accountability-auditability.md", "l": 562, "a": "### MCP Calls: 6", "b": "konsistent", "flags": [], "form": "block", "span": [ 562, 565 ] }, { "f": "skills/ms-ai-governance/references/responsible-ai/continuous-improvement-feedback-loops.md", "l": 599, "a": "**Total MCP calls:** 6 (3 searches + 2 fetches + 1 code sample search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-governance/references/responsible-ai/human-in-the-loop-oversight.md", "l": 832, "a": "**MCP Calls:** 6 (3 searches + 2 fetches + 1 code sample search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-governance/references/responsible-ai/model-monitoring-drift-detection.md", "l": 774, "a": "### Total MCP Calls: 4", "b": "inkonsistent", "flags": [], "form": "block", "span": [ 774, 777 ], "stated": 4, "enumerated": 6, "delta": -2 }, { "f": "skills/ms-ai-governance/references/responsible-ai/responsible-ai-framework-overview.md", "l": 374, "a": "**MCP-søk utført:** 3 søk (microsoft-learn)", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 374, 375 ] }, { "f": "skills/ms-ai-governance/references/responsible-ai/responsible-ai-policy-development.md", "l": 561, "a": "**MCP Calls:** 4 (microsoft_docs_search x3, microsoft_docs_fetch x2)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 4, "enumerated": 5, "delta": -1 }, { "f": "skills/ms-ai-security/references/ai-security-engineering/ai-security-scoring-framework.md", "l": 514, "a": "**MCP calls:** 5 (3 søk + 2 fetch)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/ai-security-engineering/content-safety-filter-calibration.md", "l": 536, "a": "**MCP-kall:** 6 (3x microsoft_docs_search, 2x microsoft_docs_fetch, 1x microsoft_code_sample_search)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/ai-security-engineering/norwegian-content-safety.md", "l": 537, "a": "**MCP-kall:** 6 (microsoft_docs_search x6)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/ai-security-engineering/output-validation-grounding-verification.md", "l": 694, "a": "**MCP-kall utført:** 4 (2x docs_search, 1x code_sample_search, 2x docs_fetch)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 4, "enumerated": 5, "delta": -1 }, { "f": "skills/ms-ai-security/references/ai-security-engineering/prompt-injection-defense-patterns.md", "l": 477, "a": "- 3 MCP microsoft-learn docs_search calls", "b": "ikke_sjekkbar", "flags": [], "form": "block", "span": [ 476, 478 ] }, { "f": "skills/ms-ai-security/references/cost-optimization/azure-ai-foundry-cost-governance.md", "l": 903, "a": "**Total MCP Calls:** 4 (3x microsoft_docs_search, 1x microsoft_docs_fetch, 1x microsoft_code_sample_search)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 4, "enumerated": 5, "delta": -1 }, { "f": "skills/ms-ai-security/references/cost-optimization/budget-forecasting-ai-projects.md", "l": 529, "a": "**Total MCP calls:** 3 (docs_search) + 2 (docs_fetch) + 1 (code_sample_search) = 6", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/cost-optimization/inference-endpoint-cost-optimization.md", "l": 616, "a": "**Totalt MCP-kall:** 3 (microsoft_docs_search) + 2 (microsoft_docs_fetch) + 1 (microsoft_code_sample_search) = 6", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/cost-optimization/model-selection-price-performance.md", "l": 570, "a": "**MCP-kall brukt:** 6 (4x docs_search, 2x docs_fetch)", "b": "konsistent", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/cost-optimization/reserved-capacity-planning.md", "l": 557, "a": "**MCP Calls:** 3", "b": "ikke_sjekkbar", "flags": [], "form": "line" }, { "f": "skills/ms-ai-security/references/cost-optimization/small-language-models-economics.md", "l": 644, "a": "**Total MCP-kall:** 4 (3x search, 2x fetch, 1x code samples)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 4, "enumerated": 6, "delta": -2 }, { "f": "skills/ms-ai-security/references/cost-optimization/token-counting-optimization.md", "l": 611, "a": "**MCP Calls:** 4 (microsoft_docs_search × 3, microsoft_docs_fetch × 2, microsoft_code_sample_search × 1)", "b": "inkonsistent", "flags": [], "form": "line", "stated": 4, "enumerated": 6, "delta": -2 } ] }