Public leaderboard

Public assessment

tadas-github/a2asearch-mcp (a2asearch-mcp)

a2asearch-mcp · v1.0.0 · scanned

What changed in the harness

Selection accuracy 100→100, token cost up 5%, 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

28.9 / 30

28.9 out of 30
03Economics

20.0 / 20

20.0 out of 20
04Discoverability

12.8 / 20

12.8 out of 20

Highest-impact fix

Estimated gain +7 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
list_agents
name_restates_behavior no_return_description
Browse and enumerate agents indexed in A2ASearch, optionally narrowed by agent type (MCP Server, CLI Tool, AI Coding Agent, Agent Skill, A2A Agent) to see top agents per category. Returns a list of agent records including name, description, type, slug, stars, GitHub URL and capabilities, ordered by stars or newest first and capped at the given limit.

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
search_agents list_agents medium A task like 'find/show me agents or MCP servers' is ambiguous: both accept an optional type filter and return names and stars. Only the sort/query distinction separates them (list_agents sorts by stars/new for browsing; search_agents takes a free-text keyword), and neither description flags that boundary, so an agent could pick the wrong one for 'show me top agents' or 'search MCP servers'.
search_agents get_agent medium Tasks naming a specific agent, e.g. 'get me details on the playwright agent', are ambiguous: the named entity could be treated as a search query (search_agents) or as a slug lookup (get_agent, which even lists 'playwright' as an example slug). Disambiguation requires recognizing that get_agent needs an exact slug for full details while search_agents is keyword-based, which is easy to confuse.
get_agent list_agents low Only a soft lexical slip like 'get me the agents' could confuse these, since get_agent explicitly requires a single kebab-case slug and returns full details for one agent, while list_agents is for browsing many by type. The descriptions largely resolve the plural-vs-singular and browse-vs-details distinction, so genuine selection confusion is unlikely.

Compare the field

One score is useful.
The evidence makes it actionable.

Back to the leaderboard