Run Benchmark

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the benchmark is simulated and derived from the fit estimate, labelled source='mock', which is important to avoid misuse; however, it omits side effects, whether anything is persisted, determinism, and failure behavior.

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?

It is a single compact sentence with the key qualifier 'MOCK' front-loaded. It is efficiently sized, though slightly cryptic rather than fully self-explanatory.

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?

The tool has three required/optional inputs, no annotation coverage, and an output schema (so return values need not be described). The description does not adequately cover parameter usage or the behavioral consequences of running a mock benchmark, leaving an agent with insufficient guidance for correct invocation.

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% for all three parameters. The description hints that the result derives from a fit estimate, but does not explain what repo_id or profile_id must reference or what context_tokens controls, so the parameter semantics gap is largely unaddressed.

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 identifies the tool as a simulated benchmark derived from the fit estimate and notes the mock label. However, it does not specify what is being benchmarked or how repo_id/profile_id/context_tokens affect the simulated result, leaving the purpose only partially clear.

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?

It implicitly signals that this is a mock/simulated path rather than a real benchmark, but gives no explicit guidance on when to use it instead of estimate_fit, run_recommendation, or other siblings. No exclusions or preconditions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.