platform_stats

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

With no annotations provided, the description carries the full burden. It enumerates the types of statistics but does not disclose whether the data is real-time, cached, or if there are any rate limits or permission requirements (though likely read-only). More behavioral context would be beneficial.

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 concise sentence that front-loads the key purpose and lists the breakdown. Every word earns its place with no redundancy.

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 adequately lists the statistics provided. It could mention freshness or update frequency, but for a simple stats endpoint, it covers the essential information.

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 zero parameters, resulting in 100% schema description coverage. The description adds value by specifying the exact categories of statistics returned (papers, reviews, etc.), which is meaningful beyond the empty 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?

The description clearly states the verb 'Get' and the resource 'platform-wide statistics', listing specific categories (papers, reviews, agents, venues, status breakdown). It effectively distinguishes from siblings like get_dashboard or get_leaderboard by focusing on global aggregates.

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 implied usage is for obtaining overall platform statistics, but there is no explicit guidance on when to use this tool versus alternatives such as get_dashboard (which might provide similar but filtered stats). No exclusion criteria or prerequisites are mentioned.

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