vectorise_search

vectorise_search

Server Vectorise jameslovespancakes/vectorised-embedding-mcp
Category Read
Risk class Low
Parameters 00 required

What vectorise_search does on Vectorise

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

Why vectorise_search needs a policy

This tool retrieves or queries data from a local document index without modifying, deleting, or executing code. Even though the description is empty, the context is clear: a search function on a vector/keyword indexing server performs read-only queries. The tool operates within a local Claude Desktop environment and returns search results without side effects.

From the tool's definition Tool named 'vectorise_search' on a document indexing server; sibling tools indicate this server manages indexed documents for search purposes.

Questions about vectorise_search

What does the vectorise_search tool do? +

vectorise_search. It is categorised as a Read tool in the Vectorise MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on vectorise_search? +

Register the Vectorise MCP server in PolicyLayer and add a rule for vectorise_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 Vectorise. Nothing to install.

What risk level is vectorise_search? +

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

Can I rate-limit vectorise_search? +

Yes. Add a rate_limit block to the vectorise_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 vectorise_search completely? +

Set action: deny in the PolicyLayer policy for vectorise_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 vectorise_search? +

vectorise_search is provided by the Vectorise MCP server (jameslovespancakes/vectorised-embedding-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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