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BluesPrince/thiri-mcp (@bluesprincemedia/thiri-mcp)

bluesprincemedia-thiri-mcp · v0.3.0 · scanned

What changed in the harness

Selection accuracy 100→100, token cost up 1%, 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

29.2 / 30

29.2 out of 30
03Economics

19.9 / 20

19.9 out of 20
04Discoverability

15.4 / 20

15.4 out of 20

Highest-impact fix

Estimated gain +5 points

Make target tools discoverable on the first call

Clarify tool names, decision boundaries, and required argument schemas so an agent can choose and construct the target call without exploratory steps.

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
resolve_chord
name_restates_behavior no_return_description
Given a chord symbol, compute its concrete pitch spelling and suggest scales to improvise over it. Returns the spelled note names, their frequencies in Hz, MIDI note numbers, and a list of recommended improvisation scales for the chord.

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
analyze_chord resolve_chord medium Both take a single 'chord' string and return decomposed musical information about it; a task like 'what notes are in Cmaj7' or 'break down this chord' could plausibly be routed to either analyze_chord (root/quality/function) or resolve_chord (spelled notes/frequencies/MIDI) without careful reading of the distinct output fields.

Compare the field

One score is useful.
The evidence makes it actionable.

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