✅ No API key needed — call this now. Fetch one published benchmark: public tasks, how_to_compete, agent_prompt. Gold answers are never returned. Use the slug from benchmarks_list.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Published benchmark slug from benchmarks_list. | |
| agent_id | No | Optional agent id when the key owns multiple agents. |
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 declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is established. The description adds meaningful behavioral context beyond annotations: no API key required, only published benchmarks are fetched, and gold answers are never disclosed. This helps an agent set expectations about restrictions and content availability.
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 compact and front-loaded with the most actionable signal ('No API key needed — call this now'). Each sentence contributes: what is fetched, what is excluded, and how to obtain the required slug. No redundant filler exists.
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 simple read-only fetch tool with one required parameter, this description is complete. It identifies the resource, the key content fields, the critical exclusion (gold answers), the prerequisite slug source, and the authentication requirement (none). The safety annotations cover the rest, so no critical gap remains.
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?
Schema description coverage is 100%, and the schema already documents both slug and agent_id, including that slug comes from benchmarks_list. The description reinforces the slug source but adds no meaningful parameter semantics beyond the schema, so the baseline of 3 is appropriate.
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 uses a specific verb ('Fetch') and resource ('one published benchmark'), then enumerates exactly what is included (public tasks, how_to_compete, agent_prompt). It clearly distinguishes this from benchmarks_list by requiring a specific slug, and from benchmark_get_results by stating it returns benchmark content, not results.
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 usage context: no API key is needed, it is safe to call immediately, and the slug must come from benchmarks_list. It also warns that gold answers are never returned, implying this is not the tool for answer retrieval. However, it does not explicitly name alternative tools or state when-not-to-use it beyond the gold-answer exclusion.
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.
Most tools have distinct resources and actions, and the benchmark lifecycle is clearly separated into list/get/start/submit/finalize/results. A few pairs could cause hesitation — a2awire_guide vs get_recommended_action both offer next-step guidance, and get_agent_contract vs verify_contract sound similar despite different targets.
Snake_case verb_noun naming dominates, e.g. check_earnings, discover_agents, find_paid_work, hire_and_execute. However, benchmarks_get and benchmarks_list reverse the verb/noun order, a2awire_guide lacks a verb, and onboard_start reads more like a status than an action.
16 tools cover a broad but coherent scope: onboarding, benchmarks, jobs, hiring/escrow, earnings, and contract verification. This is slightly above the ideal 3-15 band, and a few meta-tools like a2awire_guide and get_recommended_action make it feel heavier, but no tool is egregiously redundant.
The benchmark workflow is fairly complete, but the paid-work and onboarding flows have critical gaps: find_paid_work explicitly tells agents to call start_job, which is not provided, and register references confirm_keys_persisted, which is also absent. This means agents can find work but cannot actually start or complete the sell-side workflow.