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

Annotations only declare readOnlyHint and openWorldHint, so the description adds real value by disclosing small-cell suppression ('suppressed distribution counts') and that min_launches raises the suppression floor (never lowered below the built-in minimum). This is meaningful behavioral context an agent needs before interpreting 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?

The core statement is front-loaded, but 'Facet enum: topic, launch_year' followed immediately by 'facet: Required facet to aggregate. Allowed values: topic, launch_year' triples the same information, which the schema already contains. Redundancy costs it.

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 an output schema present, 100% schema coverage, and annotations covering safety, the description only needs to convey purpose, the alternative, and the suppression behavior; it does all three. Minor gap: it doesn't explain what pagination or the page/page_size cap means in this aggregation context, but the schema covers that.

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 schema already documents all 10 parameters with enums and defaults. The description largely repeats the facet and group_by allowed values already present in the schema, adding no new meaning. Baseline 3 is appropriate.

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: 'Returns suppressed distribution counts over the Product Hunt trends dataset', and names the sibling search tool at the end for differentiation. However, the frequent parenthetical restatements ('dataset id enum value producthunt-trends') and duplicated facet/group_by listings dilute the core statement.

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 final sentence explicitly routes the agent to datasets_producthunt_trends_search for searching, implying this tool is for aggregation. 'Honoring the same filters as search' gives useful context. It lacks an explicit when-not-to-use-this statement beyond the sibling pointer, but the guidance is clear.

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