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

Beyond the annotations (idempotentHint, destructiveHint=false), the description discloses concrete behavioral constraints: software/model evidence only, a 65536 request-byte cap, and a 5 s execution limit. These limits are genuinely useful and not derivable from the annotations, though auth or failure behavior is not covered.

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?

Labeled structure (Problem/Input/Result/Limits) front-loads the purpose and constraints, and every clause carries information. No filler or redundancy.

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 nested-object, zero-schema-coverage tool, the description covers the problem, input payload, result shape, and hard limits, and an output schema exists to cover return details. The only gap is top-level parameter semantics, already scored separately.

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 must carry the burden. It names inner request fields (baseline, candidate, rules) but omits the actual required top-level parameters (schema_version, idempotency_key, max_total_price), leaving the caller's parameter picture 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?

States a specific verb (compare) and resource (bounded controller responses on identical traces using objective rules), so the operation is unambiguous. It does not, however, distinguish itself from closely named siblings like robotics_compare_state_estimators_v1 or robotics_compare_digital_twin_observations_v1.

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:' framing implies the use case but gives no explicit when-to-use, when-not-to-use, or alternatives among the many compare_* siblings. Nothing routes an agent between this tool and the other comparison tools.

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