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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. The description adds behavioral context by stating what metadata is returned (fields/schema, themes, record count) and the strategic advice to call before querying. No contradictions with annotations.

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 description is a single sentence with no filler, front-loading the purpose and adding a usage hint. Every word earns its place, achieving maximal conciseness.

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 simple read-only tool with one parameter and comprehensive annotations, the description adequately conveys the returned content and usage context (pre-query). It could optionally mention if there are pagination or rate limits, but those are not needed given the tool's nature.

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 input schema covers 100% of parameters with a clear description for 'dataset_id' ('Dataset id from search_datasets'). The description does not add new parameter details beyond what the schema provides, so the 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?

The description clearly states the verb 'Get' and the resource 'metadata for one Réunion Open Data dataset', listing specific metadata fields (fields/schema, themes, record count). It distinguishes from siblings by prescribing the call order relative to querying, implying it is a preliminary step.

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 description includes an explicit usage guideline: 'call before query to learn the column names.' This tells the agent when to use the tool. However, it does not explicitly mention when not to use it or name alternative tools like 'query' or 'search_within', though these are implied.

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