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

Annotations already signal idempotency and non-destructiveness, and the description adds concrete operational context beyond them: the 65536-byte request limit, 5-second execution budget, software/model-evidence-only scope, and the normalized/unsupported verdict outcome. It omits that this is a paid buyer-job call (implied by max_total_price) and any auth/pricing behavior, keeping it below 5.

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 front-loads the purpose and constraints with zero filler; every clause carries information an agent needs. Well sized for a tool with a nested opaque request payload.

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 contents need not be spelled out, yet the description still sketches the result. Missing pieces for a nested, paid, job-creating tool are the workflow context (that it submits a buyer job) and semantics of the required wrapper parameters. Adequate but with visible gaps.

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 compensate. It usefully characterizes the request content (frame graph, target frame id, observations), which the schema leaves fully opaque, but says nothing about the three wrapper fields (schema_version, idempotency_key, max_total_price) or the const/pattern constraints, so param semantics remain only partly covered.

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 names a specific verb (convert/normalize) and resource (bounded sensor observations into the supplied target frame and unit convention), which an agent can act on. It does not explicitly differentiate itself from the closely named sibling robotics_frame_convention_validation_v1, so it falls short of a 5.

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 when the tool applies, but there is no explicit when-to-use guidance, no exclusions, and no mention of the adjacent alternatives (frame_convention_validation, estimate_fused_state, etc.). Nothing steers the agent to this tool over its many robotics siblings.

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