run_inference_scenario

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

The annotations only say the tool is not read-only, not idempotent, and not destructive; the description adds only that the target is a managed or existing-local server. It does not disclose side effects such as starting a long-running benchmark, whether the call blocks until completion, or what happens to server state, which an agent needs for an execution-type tool.

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 a single front-loaded sentence with no filler. It is compact and readable, though its brevity comes at the cost of missing operational context.

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 tool that executes a benchmark scenario and has one required plan token, the description does not explain how plan_token is obtained, what 'qualified' means, or how this run relates to the surrounding inference-scenario planning siblings. The presence of an output schema helps with return values, but the invocation workflow is under-specified.

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%, so the description needed to explain plan_token and expected_plan_id, but it does neither. It never connects 'qualified generic benchmark' to the plan_token parameter or explains the role of expected_plan_id beyond what the schema titles/patterns already imply.

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 names a specific action ('Execute'), a specific object ('one qualified generic benchmark'), and a target ('a managed or existing-local server'), so the core purpose is clear. However, it does not differentiate this from closely related siblings such as run_inference_profile or plan_inference_scenario, and the term 'qualified generic benchmark' is jargon-heavy.

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?

No guidance is given about when to use this tool versus alternatives such as plan_inference_scenario, run_inference_profile, or configure_inference_server. The description does not mention that a plan_token is presumably produced by a planning step, nor does it state any prerequisites or exclusions.

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