find_eager_fetches

Find all EAGER fetch relationships — potential N+1 query sources.

Server Orihime srinivasan-sundaresan95/orihime
Category Read
Risk class Low
Parameters 00 required

What find_eager_fetches does on Orihime

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

Why find_eager_fetches needs a policy

This tool retrieves and analyzes code metadata from the embedded KuzuDB knowledge graph to identify performance anti-patterns (N+1 queries). It performs read-only queries against indexed source code. No data is created, modified, deleted, or executed. Severity is low because misuse would result in false positives in performance analysis rather than system compromise or data loss.

From the tool's definition Tool name 'find_eager_fetches' and description 'Find all EAGER fetch relationships — potential N+1 query sources' indicate querying/analyzing code patterns without modifying, executing, or deleting data.

Questions about find_eager_fetches

What does the find_eager_fetches tool do? +

Find all EAGER fetch relationships — potential N+1 query sources. It is categorised as a Read tool in the Orihime MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_eager_fetches? +

Register the Orihime MCP server in PolicyLayer and add a rule for find_eager_fetches: 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 Orihime. Nothing to install.

What risk level is find_eager_fetches? +

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

Can I rate-limit find_eager_fetches? +

Yes. Add a rate_limit block to the find_eager_fetches 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 find_eager_fetches completely? +

Set action: deny in the PolicyLayer policy for find_eager_fetches. 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 find_eager_fetches? +

find_eager_fetches is provided by the Orihime MCP server (srinivasan-sundaresan95/orihime). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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