find_similar

Surface memories semantically near an existing ref or free-form text.

Server Loom jbarket/loom
Category Read
Risk class Low
Parameters 00 required

What find_similar does on Loom

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

Why find_similar needs a policy

This tool searches and retrieves existing memories based on semantic similarity, analogous to a search or filter operation. It has no side effects—no data is created, modified, deleted, or executed. The blast radius of misuse is low; an agent retrieving similar memories cannot cause financial harm, destructive actions, or code execution. It is a straightforward read operation on persistent memory storage.

From the tool's definition Tool performs semantic search to 'surface memories' without modification, creation, or deletion of data. The verb 'surface' indicates retrieval/query operation.

Questions about find_similar

What does the find_similar tool do? +

Surface memories semantically near an existing ref or free-form text. It is categorised as a Read tool in the Loom MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_similar? +

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

What risk level is find_similar? +

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

Can I rate-limit find_similar? +

Yes. Add a rate_limit block to the find_similar 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_similar completely? +

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

find_similar is provided by the Loom MCP server (jbarket/loom). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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