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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the window is capped at 1-180 days, weekly data is rounded to whole weeks and each section reports the window it actually used, and resources are excluded from ranking. It does not describe pagination or output shape, but no output schema exists and the section structure is explained.

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 purpose and window constraint are front-loaded in the first clause, and the per-section metric list is informative rather than redundant. The sentence is long and dense, packing ranking rules, rounding behavior, and the resources exception into one block, which slightly hurts scannability.

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 no output schema, the description does the work of explaining what comes back: ranked sections per kind, the effective window per section, and the non-ranked resources hint. Combined with full schema coverage and read-only annotations, an agent has enough to call it correctly; only return formatting details are absent.

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 all four parameters (days, kind, limit, rank_by) are already documented with defaults and bounds. The description reinforces the window range and the per-kind metric mapping, but adds no syntax or format detail beyond the schema. Baseline 3 is appropriate when the schema carries the parameter burden.

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 names a specific verb and resource: it ranks what gained the most in the AgentGid catalog over a chosen window, and it enumerates the exact metric used per section (downloads for agents/libraries/APIs/assets, new GitHub stars for Skills packs, stars for new MCP servers). This is clearly distinguishable from the find_* and whats_new siblings, which it implicitly contrasts by ranking rather than listing.

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?

It gives a concrete use case ('suggest what a user's project could add: compare the top items with the project') and routes resources elsewhere ('the answer says how to find them with find_resources by the project's keywords and categories'). It does not explicitly state when to prefer whats_new or the find_* tools over this one, so it stops short of full when/when-not guidance.

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