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summerstateofmind/cityparity (cityparity-mcp)

cityparity-mcp · v0.1.0 · scanned

What changed in the harness

Selection accuracy 100%, destructive-action safety rate 100% (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

30.0 / 30

30.0 out of 30
02Legibility

29.4 / 30

29.4 out of 30
03Economics

16.6 / 20

16.6 out of 20
04Discoverability

10.4 / 20

10.4 out of 20

Highest-impact fix

Estimated gain +10 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.

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.

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

Tool A Tool B Confidence Why they collide
compare_cities rank_cities medium Both produce the same 0-100 composite quality score across the same five weighted dimensions (financial, healthcare, vacation, childcare, safety_net), so a task like 'compare the quality-of-life score of Berlin vs Munich for a family' could route to rank_cities (with include_cities) instead of the head-to-head tool. The definitions cross-reference each other to disambiguate, but the shared scoring vocabulary makes genuine confusion plausible.
list_cities rank_cities low A natural phrasing like 'list the best cities in Norway' or 'which cities in Europe have universal healthcare' contains 'list/view which cities', which could trigger list_cities (which only returns slugs, no scores) instead of rank_cities with filters. The descriptions make list_cities purely a slug-discovery tool, so the confusion is possible but less likely.
get_city_summary get_safety_net medium A single-city family-benefit question such as 'how much parental leave and vacation does Oslo give?' is fully answerable by both tools: get_city_summary includes safety-net values (parental leave, vacation, universal healthcare) and get_safety_net accepts a 1-city batch for the same benefits. With heavy shared vocabulary (parental leave, vacation, universal healthcare, safety net), an agent may pick get_safety_net when the user wants the city's full profile, or the reverse.

Compare the field

One score is useful.
The evidence makes it actionable.

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