indexfoundry_debug_query

🔍 Debug retrieval queries with pipeline tracing, similarity scores, and expected/actual comparison. Diagnose why queries don

Server IndexFoundry MCP mnehmos/mnehmos.index-foundry.mcp
Category Read
Risk class Low
Parameters 00 required

What indexfoundry_debug_query does on IndexFoundry MCP

AI agents call indexfoundry_debug_query to retrieve information from IndexFoundry MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why indexfoundry_debug_query needs a policy

This tool retrieves and analyzes internal pipeline metrics and query results for diagnostic purposes. It traces retrieval queries and compares expected vs actual results, which is fundamentally a read-only diagnostic operation. There is no indication of data mutation, code execution, or irreversible actions.

From the tool's definition Tool name indicates debugging functionality (debug_query), description emphasizes diagnostic operations (tracing, similarity scores, comparison) with no mention of data modification, deletion, or execution of external operations.

Questions about indexfoundry_debug_query

What does the indexfoundry_debug_query tool do? +

🔍 Debug retrieval queries with pipeline tracing, similarity scores, and expected/actual comparison. Diagnose why queries don. It is categorised as a Read tool in the IndexFoundry MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on indexfoundry_debug_query? +

Register the IndexFoundry MCP server in PolicyLayer and add a rule for indexfoundry_debug_query: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches IndexFoundry MCP. Nothing to install.

What risk level is indexfoundry_debug_query? +

indexfoundry_debug_query is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit indexfoundry_debug_query? +

Yes. Add a rate_limit block to the indexfoundry_debug_query rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block indexfoundry_debug_query completely? +

Set action: deny in the PolicyLayer policy for indexfoundry_debug_query. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides indexfoundry_debug_query? +

indexfoundry_debug_query is provided by the IndexFoundry MCP server (mnehmos/mnehmos.index-foundry.mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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