context_search

Search across all RunContext nodes (models, datasets, fields, terms, owners) by keyword

Server RunContext quiet-victory-labs/runcontext
Category Read
Risk class Low
Parameters 00 required

What context_search does on RunContext

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

Why context_search needs a policy

This tool retrieves metadata about database models, datasets, fields, terms, and owners without modifying state, executing code, or performing destructive actions. It is a read-only search interface over a semantic metadata layer.

From the tool's definition Tool description states it 'Search[es] across all RunContext nodes' by keyword. The verb 'search' indicates a retrieval-only operation with no data modification, deletion, or execution of arbitrary commands.

Questions about context_search

What does the context_search tool do? +

Search across all RunContext nodes (models, datasets, fields, terms, owners) by keyword. It is categorised as a Read tool in the RunContext MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on context_search? +

Register the RunContext MCP server in PolicyLayer and add a rule for context_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 RunContext. Nothing to install.

What risk level is context_search? +

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

Can I rate-limit context_search? +

Yes. Add a rate_limit block to the context_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 context_search completely? +

Set action: deny in the PolicyLayer policy for context_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 context_search? +

context_search is provided by the RunContext MCP server (quiet-victory-labs/runcontext). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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