Search BenchGecko
searchSearch BenchGecko models and Gecko Tests. Returns ids for fetch.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
searchSearch BenchGecko models and Gecko Tests. Returns ids for fetch.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly=true, idempotent=true, destructive=false and a closed world, so the safety profile is covered. The description's one addition is that results are ids intended for a follow-up fetch call, which is useful since no output schema exists, but nothing is said about pagination, result caps, or match semantics.
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?
Two short sentences with the scope front-loaded ahead of the return-value hint; nothing is redundant. It is arguably too terse given the unspecified query parameter, but deducting for that would double-count the parameter gap.
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 one-parameter read search, the description covers what it searches and what it returns (ids for fetch), which is the minimum viable set. It omits result-set behavior (limits, ordering, pagination) that an agent would want when deciding how to consume or repeat the call.
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 0% and the sole required parameter 'query' is not described at all in the description. For a search tool, the query syntax and matching behavior (name vs id vs free text) are the most important semantics, and the description compensates for none of it.
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 (Search) and the two resources it covers (BenchGecko models and Gecko Tests), plus the return type (ids). That distinguishes it implicitly from narrower siblings like search_models and get_model, but no sibling is named, so the boundary is inferred rather than stated.
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?
"Returns ids for fetch" implies the search-then-fetch workflow, which is genuine usage guidance. However there is no when-to-use/when-not guidance and no explicit mention of alternatives such as search_models or compare_models for the agent to choose between.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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