Individual skill
docsbot-response-quality-admin-mcp
Use when analyzing DocsBot conversation or question logs to explain why the bot answered the way it did, diagnose retrieval or prompt failures, find knowledge gaps, and recommend concrete source, Q&A, prompt, model, or context fixes through the DocsBot Admin MCP.
skills/docsbot-administration/references/response-quality/SKILL.md
Source commit fc97377adefd53e861c1d456aa1392e4a4e022a2
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- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 62
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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SKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesSKILL.mdcore · 12,501 bytesreferences/diagnosis.mddoc · 5,232 bytesreferences/glossary.mddoc · 3,996 bytesreferences/handoff.mddoc · 4,354 bytesreferences/operations.mddoc · 5,738 bytesreferences/remediation.mddoc · 6,650 bytesreferences/semantic-search.mddoc · 4,979 bytesreferences/workflow.mddoc · 5,113 bytes
Read excerpt
# DocsBot Response Quality Admin MCP
Use this skill to diagnose why a DocsBot bot answered a question the way it did by inspecting conversation and question logs, the sources retrieved as context, current bot settings, and live semantic search against the training data.
Admin MCP exposes fixed named action tools plus optional metadata tools:
- `search_tools` and `get_tool_schema` for optional metadata inspection.
- The named Admin MCP tool for the authorized action, with its required `pathParams`, `query`, and/or `body`.
Call the named tool directly when known. Use `search_tools` or `get_tool_schema` only for unfamiliar advertised names or inputs.
This skill is the log-analysis and response-quality surface. It complements Bot Builder: use Bot Builder when creating or broadly reconfiguring a bot, and use this skill when the user wants a causal explanation of a specific answer, a cluster of bad answers, unanswered questions, escalations, or low ratings.
Canonical product guidance for improvement levers: [Improving Chatbot Response Quality](https://docsbot.ai/documentation/doc/improving-response-quality).