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

No annotations are provided, but this is a zero-parameter metadata read, so the mutation/permission burden is minimal. The description usefully discloses the shape of the response (source, date, licence, citation), which matters because there is 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?

Two short sentences, front-loaded with the resource and its returned fields, closing with the actionable usage cue. No 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 no-argument metadata lookup with no output schema, the description covers everything needed: what it describes, what fields come back, and when to call it. Nothing relevant 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 no parameters, so there are no semantics to convey; baseline 4 applies. Schema coverage is trivially 100% on an empty object.

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 resource (the Roofing Quotes UK dataset) and enumerates exactly what it returns: source, computation date, licence, citation. It is clearly distinct from siblings like dataset_stats or dataset_columns, though it never names an alternative explicitly.

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?

"Read this to attribute a figure correctly" gives a concrete when-to-use condition (citation/attribution). No when-not or alternative tool is named, but the purpose is narrow enough that misuse is unlikely.

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