run_inference_profile

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

Annotations are all false, so the description carries full burden for behavioral disclosure. It only mentions 'diagnostic-only' which hints at non-intrusiveness, but it does not disclose side effects, whether it starts a profiling session, blocks, or requires server state. No contradiction with annotations, but significant transparency gaps remain.

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?

A single, front-loaded sentence that states the action and scope with no filler. It is appropriately concise for the information conveyed.

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?

An output schema exists, so return value details are not needed, but the description still lacks workflow context. It doesn't explain what a 'profile window' is, how it relates to plan_inference_profile or measurement_run_id, or what prerequisite conditions apply. Incomplete for a complex operation with six parameters.

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 very low (17%; only measurement_run_id has a description). The main description adds no parameter-specific information, leaving the agent to infer meanings from names/enums. It does not compensate for the missing schema descriptions.

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 uses a specific verb ("Run") with a specific resource ("one diagnostic-only profile window") and target ("managed vLLM server"). This clearly distinguishes it from siblings like run_inference_scenario or run_experiment by focusing on a profiling-specific operation.

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?

The description implies usage for diagnostic profiling on a vLLM server, but it does not explicitly state when to prefer this over alternatives or mention exclusions. It lacks clear context such as 'use when you need to profile' or 'do not use for standard inference runs.'

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