get_platform_stats_v1_stats_get

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

No annotations are provided, so the description must carry behavioral transparency. It accurately conveys the read-only nature and scope, but omits details such as rate limits, caching policy, or data freshness, which would benefit an agent in a high-stakes context.

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 description is a single sentence that front-loads the endpoint and public tag, then concisely states the purpose and included statistics. No redundant information.

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?

Given no output schema and zero parameters, the description sufficiently covers what the tool does and what data it returns (providers, datasets, rows). It does not detail the response structure, but the examples give a reasonable expectation.

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?

The input schema has zero parameters, so the description cannot add parameter semantics beyond the schema. Baseline score of 4 is appropriate as no parameters exist.

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?

Description clearly states the tool retrieves platform-wide aggregate statistics, including specific examples (total providers, datasets, rows). It uses a distinct verb and resource, and is easily distinguishable from sibling tools that focus on provider- or dataset-specific stats.

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?

Description marks the endpoint as public ('(public)'), providing context on accessibility. However, it does not explicitly state when to use this tool versus alternatives like get_provider_stats or get_dataset_stats, which are present among siblings.

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