get_platform_stats

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

No annotations are present, so the description bears full responsibility. It discloses that the data is 'live' and lists what is retrieved, but does not mention behavioral traits like rate limits, caching, or side effects. For a read-only stats tool, this is minimally adequate.

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 extremely concise: two sentences that express purpose, data content, and an important access condition. Every word earns its place, with no redundancy or fluff.

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 zero parameters and no output schema, the description covers the essential aspects: purpose, data items, and authentication. It does not specify the return format (e.g., JSON), but the listed fields imply the structure. Overall, it is sufficiently complete for such a simple tool.

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?

There are no parameters (schema coverage 100%), so the description adds value by clarifying that no api_key is needed. This surpasses the baseline of 3 by providing actionable context about authentication requirements.

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?

The description clearly identifies the tool's purpose: retrieving live platform statistics. It lists specific data points (total agents, transaction volume, etc.), distinguishing it from the many sibling tools focused on specific operations like barter, swap, or credit.

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 explicitly states that no api_key is required, implying public access. While it doesn't specify when to use vs alternatives, the unique nature of the tool (platform stats) makes its context clear. No exclusion criteria are provided, but the simplicity and lack of similar siblings reduce need.

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