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api_benchmark

Create performance benchmark configurations to evaluate API endpoints under specific concurrent loads and durations.

Instructions

Create a performance benchmark configuration for API endpoints

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
endpointsYesList of endpoints to benchmark
concurrent_usersNo
duration_secondsNo
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden. 'Create' implies a mutation or configuration generation, but the description does not state whether the benchmark is actually executed, what side effects occur, whether an API key is required, or what the tool returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence with no filler and a clear front-loaded verb. However, for a tool with four parameters and no annotations, it is under-specified rather than efficiently concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description must provide the context, and this nine-word sentence is wholly inadequate. It omits required endpoint details, authentication requirements, default behavior, and any indication of what the configuration looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25%, and the description adds essentially no parameter meaning beyond naming 'API endpoints'. It does not explain concurrent_users, duration_seconds, api_key, or the endpoint fields (method, url, headers, body), so the agent must guess their semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Create'), a resource ('performance benchmark configuration'), and a target ('API endpoints'), so an agent can tell what the tool produces. It does not explicitly distinguish itself from nearby siblings like perf_generate_load_test or llmeval_add_benchmarks, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives such as perf_generate_load_test. It only states what the tool does, leaving all selection context implicit.

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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