get_findings

Severity-tagged findings derived from the inventory.

Server Gke Cred Audit rrupesh/mcp-test
Category Read
Risk class Low
Parameters 00 required

What get_findings does on Gke Cred Audit

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

Why get_findings needs a policy

This is a read-only tool that retrieves pre-computed security audit findings from an existing inventory. It is part of a defensive auditor that inventories and reports on Kubernetes credentials and RBAC posture. Retrieving audit results carries minimal risk and aligns with the 'Read' category (get, fetch, query operations with no side effects).

From the tool's definition Tool name 'get_findings' and description 'Severity-tagged findings derived from the inventory' indicate this retrieves and queries audit results.

Questions about get_findings

What does the get_findings tool do? +

Severity-tagged findings derived from the inventory. It is categorised as a Read tool in the Gke Cred Audit MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_findings? +

Register the Gke Cred Audit MCP server in PolicyLayer and add a rule for get_findings: 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 Gke Cred Audit. Nothing to install.

What risk level is get_findings? +

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

Can I rate-limit get_findings? +

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

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

get_findings is provided by the Gke Cred Audit MCP server (rrupesh/mcp-test). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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