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Vovala14/vynly-mcp (@vynly/mcp)

vynly-mcp · v0.3.3 · scanned

What changed in the harness

Selection accuracy 100%, destructive-action safety rate 0% (baseline only -- no rewrite pass applied).

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

29.3 / 30

29.3 out of 30
03Economics

19.3 / 20

19.3 out of 20
04Discoverability

16.4 / 20

16.4 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.

0 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
No description defects were flagged in this assessment.

Selection evidence

Confusable tool pairs.

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

Tool A Tool B Confidence Why they collide
vynly_post_image vynly_post_spark high Both publish an AI-generated image to Vynly with nearly identical schemas (imagePath/imageUrl/imageBase64, declaredSource, width/height). The only real differentiator is permanence: vynly_post_image makes a permanent feed post, vynly_post_spark makes a 24-hour ephemeral spark with no caption/tags. A task phrased vaguely like 'publish this image to Vynly' or 'share this generated image' gives the agent no explicit signal whether the content is temporary or permanent, so it can plausibly pick the wrong member; the descriptions cross-referencing each other actually reinforces that both are valid 'post an image' choices.
vynly_read_feed vynly_search medium Both are read-only discovery tools returning posts, and both are the natural candidates for browsing/exploring the platform. A task like 'show me what's happening on Vynly right now' could map to read_feed (reverse-chronological live posts), while 'see what's trending or who's active' maps to search with an empty query (trending tags + featured users). Tasks mixing recency and topic ('what are people posting about X lately') are ambiguous because read_feed cannot filter by topic and search returns posts by caption match, so the agent may pick the wrong one without deeper reasoning.

Compare the field

One score is useful.
The evidence makes it actionable.

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