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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds valuable interpretation caveats beyond those: a rule without `reviewed_at` is meaningless, and `lead_time_verified: false` means the lead time is NOT verified. This tells the agent how to interpret results, not just what the tool does.

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 content is front-loaded with purpose and fields, then the sibling relationship, then the data caveats. However, it is bilingual and repeats most of the first two sentences in English, adding length without new information; it remains structured and free of filler.

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 parameterless, read-only catalogue tool with an output schema, the description covers purpose, contents, its relationship to `flight_requirements`, and key interpretation caveats. Nothing needed to invoke or understand the result set is missing.

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?

The tool takes zero parameters, and the input schema correctly reflects that with an empty properties object. With no parameters, the baseline is 4, and the description appropriately focuses on output semantics rather than arguments.

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 opens with a specific verb ('Devuelve'/'Returns') and the exact resource: LOWLEVEL's complete catalogue of Spanish drone paperwork. It enumerates the fields returned and explicitly distinguishes itself from sibling `flight_requirements` by stating it is the set that tool evaluates, published for whole-catalogue citation.

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?

It gives clear context: this is the dataset behind `flight_requirements` and is meant for citing the full set, implying use when the whole catalogue is needed rather than per-case evaluation. However, it does not explicitly state when not to use it or name `search_regulation` for filtered lookups, so it lacks full exclusion guidance.

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