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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds genuinely non-obvious behavioural context beyond that: the exact static payload (sources, value band, window, classification, data date, CC BY-NC 4.0 licence, required attribution) and the server's limits plus where to escalate — all useful for a tool with no output schema.

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?

Roughly fifty words, front-loaded with the primary purpose before trailing into licence and limits. It is a single long sentence with parenthetical lists, which is dense but every clause carries information an agent would otherwise lack.

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 output schema, no parameters and only four annotations, the description carries the burden of stating what comes back, and it enumerates the topics well (coverage, methodology, date, licence, attribution, limits, contact path). It stops short of describing the response's shape or field names, which would fully close the gap, but the topical enumeration is sufficient to call the tool correctly.

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, which is the baseline-4 case; there is nothing for the description to disambiguate. The description correctly implies no input is needed by framing the tool as a pure 'about/what' statement.

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 informational resource — what the radar covers, how it is built, the data date, licence and attribution — so an agent knows this is a metadata/licence tool rather than a data query. It does not explicitly contrast itself with the data-returning siblings (get_firm, list_markets, search_tenders), though the content makes the distinction inferable.

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?

Usage is only implied: read this to learn coverage, provenance and licence terms. There is no explicit 'use this before querying' or 'use this when you need attribution text / licence terms' statement, and no named alternatives, so an agent must infer the trigger from the content list.

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