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

Annotations cover the safety profile (readOnly, idempotent, non-destructive). The description adds genuinely non-obvious behavioral context: the two calibers differ ~15% and MUST NOT be mixed. That is a real domain constraint an agent could not infer. Minor gaps: no note on freshness/coverage of the data.

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?

Front-loaded with Purpose/Guidelines/Limits labels and an example, so an agent can scan it quickly. Slightly padded by the explicit section headers for such a short body, but no sentence is wasted.

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 values need no explanation, and annotations cover mutability. The description supplies the essential domain caveat (don't mix calibers). Missing only cross-references to the cost/energy siblings that a fully complete definition would provide.

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 100% and two parameters have enums, so the schema already documents keyword, language and response_format. The description adds nothing about parameter behavior (e.g. what keyword matches, when to choose json). Baseline 3 is appropriate.

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 (compute) and resource (power consumption statistics) and adds unusual scope detail: two official calibers plus data-centre cost structure. This distinguishes it from vague siblings, though it doesn't name a specific sibling it might be confused with (e.g. get_compute_infrastructure, get_pue_benchmarks).

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?

Explicit guideline: 'quote the issuing body with the figure' and 'always name the source.' A worked example call is given. However, it does not say when to reach for this tool over the related siblings (get_pue_benchmarks, get_compute_infrastructure, calculate_compute_energy_cost), so routing guidance is incomplete.

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