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realwigu/mcp-doctor (@wigu/mcp-doctor)

wigu-mcp-doctor · v0.3.0 · scanned

What changed in the harness

Selection accuracy 93→95, token cost up 9%, unconfirmed writes 100%→100%.

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

30.0 / 30

30.0 out of 30
02Legibility

27.6 / 30

27.6 out of 30
03Economics

20.0 / 20

20.0 out of 20
04Discoverability

18.2 / 20

18.2 out of 20

Highest-impact fix

Estimated gain +1 point

Rewrite 3 underspecified tool descriptions

State each tool's behavior, explain every parameter, and declare return semantics, prioritizing tools exercised by failed selection tasks.

Description evidence

Defects and rewrites.

3 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
scan
no_return_description
Discover all MCP server configs and test their connections via JSON-RPC handshake. Returns a list of configured servers with each one's connection status (success/failure) and any handshake error details.
security
no_return_description
Audit all MCP server configs for security issues like hardcoded secrets, tokens in args, and shell injection patterns. Returns a list of findings per server, each describing the issue type, severity, and location in the config.
doctor
no_return_description
Run all checks at once: scan connections, audit security, and benchmark latency for all configured MCP servers. Returns a combined report with connection status, security findings, and latency measurements for each server.

Selection evidence

Confusable tool pairs.

1 pair where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
bench doctor medium Both take no parameters and cover latency benchmarking for all configured MCP servers; a task phrased like 'check latency of my MCP servers' could plausibly route to either 'bench' (matches literally) or 'doctor' (which also includes benchmarking as part of a broader health check), causing an agent to pick the superset tool when only latency was wanted, or vice versa if it conflates 'doctor' with a narrower diagnostic.

Compare the field

One score is useful.
The evidence makes it actionable.

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