MCP Tool Evaluation with Claude Code: MCP Tool Boundary

A production playbook for MCP tool evaluation in cross-industry operations using Claude Code: mcp tool boundary, run-scoped inputs, logs, typed results, and artifacts.

Audience: AI platform teams adopting MCP

The problem

AI platform teams adopting MCP need MCP tool evaluation to run repeatedly against tool definitions, auth policy, traces, and test cases. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.

Implementation path

Expose only the MCP tools needed for MCP tool evaluation, validate tool arguments, keep credentials in the owning service, and log each call outside the sandbox.

Tradeoffs and failure modes

Narrow tool boundaries reduce agent flexibility, but make the integration reviewable and supportable. For MCP tool evaluation, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.

Tool policy

tool: mcp-tool-evaluation_lookup
agent: Claude Code
input_scope: /skill/.argo/inputs
credential_owner: broker
log_arguments: true
network_policy: allowlisted

Run this on Argo