kubesearch_status

Report the freshness and size of the locally cached kubesearch.dev data: the release tag (date), when it was

Server Kubesearch perfectra1n/kubesearch-mcp
Category Read
Risk class Low
Parameters 00 required

What kubesearch_status does on Kubesearch

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

Why kubesearch_status needs a policy

This tool retrieves and reports status information about cached data. It performs no writes, deletes, executions, or financial operations. The incomplete description suggests it returns timestamp and size metrics. This is a straightforward read operation with minimal risk—misuse cannot damage systems or expose sensitive data beyond what the AI already has access to through kubesearch.

From the tool's definition Tool reports 'freshness and size of the locally cached kubesearch.dev data: the release tag (date), when it was' — purely informational querying of cache metadata with no data modification or side effects.

Questions about kubesearch_status

What does the kubesearch_status tool do? +

Report the freshness and size of the locally cached kubesearch.dev data: the release tag (date), when it was. It is categorised as a Read tool in the Kubesearch MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on kubesearch_status? +

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

What risk level is kubesearch_status? +

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

Can I rate-limit kubesearch_status? +

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

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

kubesearch_status is provided by the Kubesearch MCP server (perfectra1n/kubesearch-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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