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

No annotations are supplied, so the description carries the full behavioral burden and does not meet it. It never states that the call is read-only, whether it is cheap or expensive, whether results are paginated or cached, or what a 'READINESS / DATA_DEPTH level' actually conveys; only the subject matter is disclosed.

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?

It is a single front-loaded sentence with no filler, which is appropriate in length. However, the em-dash appositive structure packs in three undefined terms, making it terse rather than informative — compactness is achieved at the cost of comprehension.

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?

With no parameters and no output schema, the description is the only source of information about what comes back, and it only gestures at the return content (dataset entries plus readiness/depth levels). For a discovery-oriented catalogue tool that an agent would use to plan subsequent calls, it should say more about what each entry contains and how to act on it.

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 description does not invent any, so the baseline of 4 applies. There is no parameter semantics to add beyond the empty schema.

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 identifies the resource as a catalogue of documented datasets and mentions READINESS / DATA_DEPTH levels, so the general subject is clear. But it is a noun phrase with no verb, and the jargon ('fiches D09', 'READINESS / DATA_DEPTH') is never explained, so an agent cannot be certain what this returns or how it differs from siblings like get_territory_scores or get_ranking_head.

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 at all: no trigger conditions, no exclusions, and no mention of any of the seven sibling tools. The agent must infer from the name alone that this is a discovery/meta tool to consult before calling the data-retrieval siblings.

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