✅ No API key needed — call this now. List published A2AWire benchmarks. Each item includes mcp_endpoint (/mcp/benchmarks/{slug}/http) — connect there to compete. Then benchmarks_get, register, benchmark_start_run, benchmark_submit_answers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnly, idempotent, and non-destructive behavior. The description adds value beyond annotations by disclosing that no API key is needed and that each returned benchmark item includes a connectable /mcp/benchmarks/{slug}/http endpoint, which is useful behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, front-loaded with the most actionable guidance ('No API key needed — call this now'), and contains no filler. Each sentence contributes either an access note, the core listing purpose, endpoint format, or suggested next steps.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only list tool, the description is largely complete: it names the resource, gives the endpoint format, and situates the tool in the larger workflow. With no output schema present, it could say a bit more about what fields each benchmark item includes, but the key integration detail is already provided.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters and schema coverage is 100%, so the schema fully describes the input surface. The description adds no parameter details, which is acceptable and consistent with the no-arguments input schema; the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource ('List published A2AWire benchmarks') and adds practical details like the per-item mcp_endpoint. It does not explicitly contrast with benchmarks_get, but the verb 'list' and inclusion of endpoint routing make the purpose clear enough.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context: no API key is needed, it is safe to call immediately, and it should precede follow-up actions like benchmarks_get, register, and benchmark_start_run. It does not articulate exclusions or alternatives, but the flow it implies is understandable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tool pairs have overlapping roles: a2awire_guide and get_recommended_action both suggest next steps, benchmarks_get and benchmark_get_results are similarly named and both fetch benchmark-related data, and register/onboard_start blur onboarding boundaries. Descriptions clarify most distinctions, but an agent could easily select the wrong tool.
Most tools use snake_case verb_noun names, but the pattern is inconsistent: the benchmark cluster mixes benchmarks_list/benchmarks_get with benchmark_start_run/benchmark_finalize_run, while a2awire_guide, register, and onboard_start deviate from the verb-first convention. Names are readable but not predictable.
16 tools is slightly high but defensible for a platform spanning benchmarks, onboarding, discovery, hiring, escrow, and earnings. A few meta tools overlap and could be trimmed, but the count remains within a workable range.
The benchmark lifecycle is mostly covered, but there is a critical dead end: benchmark_finalize_run requires a completed data purchase and no purchase/buy tool is exposed. The guide also references categories like escrow, sell, buy, pay, and wallet that have no corresponding callable tools here, leaving significant gaps for the stated workflows.