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

Annotations declare this is not read-only but not destructive and is idempotent, and the description usefully adds operational limits (software/model evidence only, 65536 request bytes, 5 s execution) plus the verdict space (pass/fail/unsupported). However, it never mentions that each call carries a monetary cost (max_total_price is required) or that the readOnlyHint=false reflects a billed job submission, which is the most important behavioral fact for an agent.

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 labeling gives a clear, front-loaded structure, and the limits are stated economically. Against that, the Input sentence is truncated with an ellipsis and literal 'declared....', which reads as unfinished text rather than deliberate brevity.

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 the return format need not be spelled out, and the description does cover evidence scope and execution limits. It remains incomplete for a billed, idempotency-keyed job tool: cost, idempotency semantics, and the shape of the request body are all unaddressed.

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% and all four parameters are required, yet the description only loosely gestures at payload structure ('JSON with frames, declared length unit, declared transform direction, declared....'), trailing off mid-sentence. Required fields like idempotency_key, schema_version, and max_total_price are never explained, and the nested object is not described, so the description does not close the coverage gap.

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 and resource (validate a bounded frame graph) and enumerates the exact violation classes it reports: unit, axis, handedness, rotation, and transform-direction. This readily separates it from siblings like robotics_normalize_sensor_frames_v1 (which normalizes) and robotics_assess_calibration_quality_v1 (which assesses quality).

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 when-to-use guidance, no prerequisites, and no routing against the many sibling robotics_* validation tools. The 'Problem:' framing implies a validation context but never states the conditions that select this tool over robotics_validate_kinematic_dynamic_limits_v1 or robotics_normalize_sensor_frames_v1.

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