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djerok/glm-mcp (glm-mcp)

glm-mcp · v1.0.0 · scanned

What changed in the harness

Selection accuracy 100→98, token cost down 0%, unconfirmed writes 0%→0%.

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

0.0 / 30

0.0 out of 30
02Legibility

29.4 / 30

29.4 out of 30
03Economics

19.9 / 20

19.9 out of 20
04Discoverability

10.9 / 20

10.9 out of 20

Highest-impact fix

Estimated gain +30 points

Add explicit identity and permission preflight tools

Expose machine-readable principal/tenant confirmation and a non-mutating permission check so agents can verify both before destructive actions.

Description evidence

Defects and rewrites.

1 defect 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
glm_status
no_return_description
Free local status check that makes no GLM call. Takes no parameters. Returns the current peak-pricing window, the active model, a GLM usage ledger showing tokens spent as proof of GLM usage, and config health information.

Selection evidence

Confusable tool pairs.

3 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
glm_agent glm_recommend low Both relate to choosing/using GLM, but glm_agent executes repo work while glm_recommend only advises which engine to use; a task phrased as 'should I use GLM for this?' could plausibly trigger either, though descriptions make the distinction fairly clear.
glm_agent glm_status low Low overlap in purpose (execution vs. free status/ledger check); confusion is unlikely since glm_status has no task-execution semantics, but a vague 'check on GLM' request could momentarily brush against either.
glm_recommend glm_status low Both are free local/no-call advisory tools sharing 'glm', 'model', 'free', 'local' tokens, so a request like 'what's the current GLM setup/model recommendation' could blur between checking status vs. getting a recommendation, though their outputs (advice vs. ledger/config) differ clearly.

Compare the field

One score is useful.
The evidence makes it actionable.

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