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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds useful context by naming the return fields, which matters because there is no output schema, but it says nothing about completeness (full list vs. paginated), ordering, or how the category filter interacts with results.

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?

A single front-loaded sentence with zero filler: verb, resource, and returned fields, in that order. Nothing in it is redundant.

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 simple, read-only, fully annotated list tool with one schema-documented optional parameter, this is close to sufficient: the resource and return fields are stated and safety is covered by annotations. The only meaningful gap is result-set behavior (pagination/ordering/completeness) for a glossary list.

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% and the single optional 'category' parameter is documented as an exact-match filter in the schema itself. The description adds no parameter information beyond that, so the baseline of 3 applies.

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 verb and resource ('Lista os verbetes do glossário de conceitos econômicos') and enumerates the returned fields (slug, categoria, indicadores relacionados). It is clearly distinguishable from get_concept (single item) and the other list_* siblings by resource, though it does not name any 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?

The description only implies listing behavior; it never says when to use this versus get_concept (single concept lookup) or search. There are no exclusions, prerequisites, or alternative routing, leaving the agent to infer usage from the tool name alone.

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