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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes what information is returned but does not explicitly state that the tool is read-only or side-effect-free, nor does it mention any limitations (e.g., what counts as 'fresh' or 'small'), authentication requirements, or rate limits. This is a significant gap given the lack of annotation support.

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, information-dense sentence. It front-loads the core question ('How much... is available') and then lists the key statistics. Every word earns its place; there is no filler or repetition.

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?

For a zero-parameter, no-output-schema tool, the description covers the main return dimensions (totals, freshness, size, top sources/languages/tags). However, terms like 'fresh' and 'small' are undefined, and the absence of an output schema leaves the return structure unspecified. Still, it is adequate for a straightforward stats 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?

The tool has zero parameters and the schema is trivially complete (empty object). Per the baseline rule for zero-parameter tools, a score of 4 is appropriate. The description adds no parameter information but also needs none, as there is nothing to clarify.

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 indicates that the tool provides an aggregate statistical overview of the independent-software index (total listings, freshness/size categories, top sources/languages/tags). It is distinguishable from sibling tools like get_listing (which fetches a single listing) or search_* (which finds specific items), though it lacks an explicit verb such as 'retrieve' or 'compute'.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description does not mention that this is the preferred tool for index-level statistics, nor does it exclude cases where get_listing or search tools would be more appropriate. Usage context is only implied by the content, not stated.

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