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

Annotation readOnlyHint=true already declares this a safe, non-mutating operation; the description does not contradict it. It adds useful behavioral context beyond the annotation — that this is 'Free discovery' and that it returns a 'paste-ready first query' — clarifying what the call actually yields and how it behaves.

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 sentences, front-loaded with the purpose and return contents, followed by concrete usage guidance. The listing of five return categories is slightly dense but each item earns its place; there is 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?

With only one fully-documented parameter, a readOnlyHint annotation, and no output schema, the description compensates well by detailing the return content (metadata, coverage, freshness, canonical tool guidance, first-query examples) and the call timing. Stronger response-format detail would push this higher, but nothing essential is missing for correct invocation.

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?

Schema coverage is 100%, with pack_id fully described in the schema ('Pack identifier from get_catalog'). Per the baseline, since the schema documents the only parameter completely, the description need not add more; it references 'one pack,' aligning with the single pack_id parameter without adding deeper semantics.

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 states a specific verb and resource: 'Returns detailed metadata, coverage, freshness, preferred canonical tool guidance, and first-query examples for one pack.' It enumerates exactly what is returned and is clearly distinct from siblings: get_catalog lists the catalog, get_tool_help offers help, and query_dataset executes queries, while this fetches per-pack metadata.

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?

'Call this before querying a new pack so you can see time shape, coverage limits, and the paste-ready first query' explicitly names when to use it, tied to the workflow of using query_dataset. It gives a clear trigger condition, though it does not explicitly state when not to use it or contrast with get_catalog/get_tool_help as alternatives.

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