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

Annotations already declare readOnly/idempotent/openWorld, so safety is covered; the description adds real value by disclosing registry coverage, the return payload shape (keys plus units and source notes), and that it can surface additional DBnomics datasets. It omits any mention of result limits, ranking, or pagination, so it is not fully transparent.

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?

One dense sentence, though it is long and reads as a run-on. The most decision-relevant content (what registry and which sources) is front-loaded, and nothing is padding, but it could be split for scannability.

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, the description correctly compensates by describing what is returned (indicator keys, caribstat series ids, units, source notes) and which tools consume them. For a single-param search tool with full annotation coverage, nothing an agent needs 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?

Only one parameter and schema coverage is 100%, so the schema already carries the load; per the rubric baseline is 3. The description's example topic strings loosely illustrate free-text query intent but add no syntax, format, or matching behavior beyond the schema.

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 (search) and resource (curated indicator registry) and enumerates the concrete sources covered (World Bank WDI, IMF, BIS, ECB, ECCB, Central Bank of Barbados, DBnomics). Example topics ('inflation', 'debt') make the scope unmistakable and distinguish it from generic siblings like search and list_sources.

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?

Explicitly routes the agent downstream: results are 'indicator keys usable with get_indicator/verify_stat' and 'caribstat series ids usable with get_series'. That is clear when-to-use context, but it never contrasts itself with the sibling 'search' tool or states when a direct get_indicator/get_series call should be preferred over searching first.

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