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

Annotations cover the safety/idempotency profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false), and the description adds real context beyond them: a 65536-byte request cap, a 5 s execution limit, and a 'software/model evidence only' disclaimer. It does not contradict annotations and usefully sets expectations about cost and validity of results.

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 Problem/Input/Result/Limits framing is well-structured and front-loaded with the core purpose. It is compact, though the dangling 'baseline....' ellipsis is sloppy and leaves a partially stated input list.

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 explaining return values is not required, and the description does summarize the result shape anyway. However, for a nested free-form request object at 0% schema coverage, the input contract described is too thin, and key required fields like idempotency_key and the price cap are left unexplained.

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 4 required parameters, so the description must compensate. It does partially—naming request fields like mass, damping, disturbance, time step seconds, and baseline kp—but it trails off with an ellipsis ('baseline....') and says nothing about idempotency_key or the max_total_price semantics, so the compensation is incomplete.

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 ('Tune supported control parameters') and scopes it to a bounded disturbance model against supplied response objectives. This is clear enough to act on, but it never distinguishes itself from the closely related sibling robotics_tune_controller_to_objectives_v1, leaving the agent to guess which tuning tool applies.

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?

There is no explicit when-to-use, when-not-to-use, or alternative-routing guidance. With multiple tuning/validation siblings (tune_controller_to_objectives, validate_closed_loop_stability, compare_controller_responses), the description gives no signal for choosing among them.

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