traces.sampleErrors

Sample failing traces

Server Kubernetes MCP Server kishanrao92/infra-mcp
Category Read
Risk class Low
Parameters 00 required

What traces.sampleErrors does on Kubernetes MCP Server

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

Why traces.sampleErrors needs a policy

This tool retrieves diagnostic trace information from the cluster for troubleshooting purposes. Sampling traces is a read-only operation that queries existing observability data without side effects. The blast radius of misuse is minimal—an agent could only retrieve trace data that likely has limited sensitive information in typical Kubernetes deployments, and the operation is non-destructive and non-executable.

From the tool's definition Tool name 'traces.sampleErrors' with description 'Sample failing traces' indicates retrieval and inspection of trace data. The verb 'sample' means to collect or retrieve a subset of existing data, not modify or execute operations.

Questions about traces.sampleErrors

What does the traces.sampleErrors tool do? +

Sample failing traces. It is categorised as a Read tool in the Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on traces.sampleErrors? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for traces.sampleErrors: 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 Kubernetes MCP Server. Nothing to install.

What risk level is traces.sampleErrors? +

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

Can I rate-limit traces.sampleErrors? +

Yes. Add a rate_limit block to the traces.sampleErrors 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 traces.sampleErrors completely? +

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

traces.sampleErrors is provided by the Kubernetes MCP Server MCP server (kishanrao92/infra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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