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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and non-destructive, so the safety profile is fully covered. The description adds useful context about what is returned (loaded datasets plus record counts), but says nothing about ordering, pagination, or how 'loaded' is determined.

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?

Very short and front-loaded: the core fact (loaded datasets with counts) comes first, followed by the purpose and a translation. The bilingual repetition doubles the length but mirrors the schema's own bilingual style, so it's defensible rather than wasteful.

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 one-optional-parameter read tool with full annotation coverage and a fully described schema, the description supplies what the structured fields cannot: that the list reflects actually loaded data and includes counts. The absence of an output schema is mitigated by this statement of what is returned.

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 description coverage is 100%, so the single optional 'query' parameter is already fully documented in the schema, including empty-means-full-list behavior. The description adds nothing further about parameter behavior, which is the expected baseline when the schema does the work.

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?

Specific verb+resource: it lists the datasets that are actually loaded and mentions record counts, which clarifies the scope beyond a raw catalog listing. It doesn't name which sibling to use instead when the user wants search rather than enumeration, so it falls short of full sibling differentiation.

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?

'Check what we can answer from' implies the use case (assessing available coverage) but never states when to prefer this over search_catalog or search_data, nor any preconditions. Usage is inferable but not explicit.

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