vector_search

Semantic search using embeddings + Chroma. Optional metadata filter via

Server MCP Tooling Lab kaypon/mcp-tooling-lab
Category Read
Risk class Low
Parameters 00 required

What vector_search does on MCP Tooling Lab

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

Why vector_search needs a policy

This tool retrieves or queries data from a vector store based on semantic similarity. It has no side effects—it does not create, modify, delete, or execute arbitrary operations. The optional metadata filter is a read-only constraint on the query. This is a classic Read category operation: search/query functionality that returns results without altering the underlying data.

From the tool's definition Tool description states 'Semantic search using embeddings + Chroma' with optional metadata filtering. The verb 'search' and the context of querying a vector database indicate data retrieval without modification.

Questions about vector_search

What does the vector_search tool do? +

Semantic search using embeddings + Chroma. Optional metadata filter via. It is categorised as a Read tool in the MCP Tooling Lab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on vector_search? +

Register the MCP Tooling Lab MCP server in PolicyLayer and add a rule for vector_search: 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 MCP Tooling Lab. Nothing to install.

What risk level is vector_search? +

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

Can I rate-limit vector_search? +

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

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

vector_search is provided by the MCP Tooling Lab MCP server (kaypon/mcp-tooling-lab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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