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

Beyond the annotations, the description discloses useful behavioral limits: software/model evidence only, 65536 request bytes, and 5 s execution. It also describes the result as a typed verdict with measured metrics, and notes that a candidate is returned only when verified. It does not explain the readOnlyHint=false implication, but it adds substantial operational context.

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 compact and front-loaded using labeled fragments: Problem, Input, Result, Limits. Every sentence carries information, and there is no redundant or filler text.

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 output schema exists, so return values need not be fully explained, and the description covers result type at a high level. However, the input schema is opaque and the description does not clarify the required top-level request fields or how to choose this tool over sibling comparison tools.

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 coverage is 0% for 4 required parameters. The description only names planned, observed, and rules as inputs, leaving schema_version, idempotency_key, max_total_price, and the exact structure of the request object unexplained. It adds some meaning but does not compensate for the schema's lack of documentation.

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 states a specific verb and resource: comparing planned and observed trajectories against caller tolerances. This is naturally distinct from sibling comparison tools such as compare_controller_responses and compare_state_estimators, so an agent can identify the tool without opening its schema.

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 problem statement implies the use case, but there is no explicit when-to-use guidance, no exclusion conditions, and no mention of alternatives among the many sibling comparison tools. An agent must infer selection from the tool name and description alone.

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