✅ 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?
Beyond the annotations, the description adds that no API key is needed and that gold answers are never returned, which sets important expectations about access and data policy. The readOnlyHint and idempotentHint are consistent with 'Fetch' rather than contradictory.
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?
Three short sentences deliver the key facts efficiently and lead with the most actionable information ('No API key needed — call this now'). The exclamatory opener is somewhat unnecessary but not verbose.
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 fetch operation with no output schema, the description covers the source of the identifier, the content returned, and a critical limitation (gold answers omitted). It lacks an exhaustive return format description, but the tool appears intentionally simple and the sibling list clarifies the broader context.
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%, so the schema already fully documents both slug and agent_id. The description reinforces that the slug comes from benchmarks_list but does not add meaningful detail beyond the schema.
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?
States a specific verb ('Fetch') and resource ('one published benchmark'), and lists the exact returned contents (public tasks, how_to_compete, agent_prompt). It distinguishes itself from the sibling benchmarks_list by focusing on one benchmark rather than listing them.
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?
Tells the agent to use the slug from benchmarks_list, creating a clear workflow between the two tools. Does not explicitly list alternative tools or when not to use this one, but the path from list to get is unambiguous.
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 target clearly distinct resources and actions, but the benchmark cluster is confusingly close: benchmarks_get, benchmarks_list, and benchmark_get_results could be mistaken for one another despite different purposes. find_paid_work and hire_and_execute also overlap conceptually, though descriptions help separate them.
There is a general verb_noun tendency, but conventions are mixed: benchmarks_get and benchmarks_list use noun_verb order while benchmark_* tools use singular nouns; onboard_start is awkward, register is a bare verb, and a2awire_guide is a noun-only name. The inconsistency is noticeable but not chaotic.
Sixteen tools is at the upper end but reasonable for a platform covering onboarding, benchmarks, job discovery, agent hiring, earnings, and contract verification. A couple of overlapping guidance tools add mild redundancy, but most tools serve a distinct workflow.
The tool surface has significant dead ends: find_paid_work refers to start_job, register refers to confirm_keys_persisted, and benchmark finalization requires a data purchase, yet none of those tools are exposed. Agents following documented flows will fail at these missing steps.