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

Annotations only declare readOnlyHint and openWorldHint=false, so the description carries most of the behavioral weight and does so well: default sort 'most projects first', 50 per page, and the non-obvious nuance that only top-level categories carry combined TVL, market cap and 30d changes. It also discloses the data source (AlphaGrowth, free data). It does not state error behavior or what an empty result looks like, which keeps it below 5.

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?

Front-loaded and waste-free: content, ordering, paging, aggregate caveat, downstream usage and provenance in three compact sentences. The first sentence is long and packs multiple ideas, which slightly hurts scannability but no sentence is filler.

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 two-parameter, read-only listing tool with no output schema, the description supplies everything an agent needs: what the rows contain, how they are ordered, page size, which rows have aggregates, and how to reuse the returned slugs elsewhere. Nothing material is left to inference.

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 both `page` and `query` are already fully documented in the input schema. The description reinforces the 50-per-page paging size but adds no new semantics for `query` (matching on name or slug) beyond what the schema states, so the baseline of 3 applies.

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 the exact resource (crypto project categories such as DEXs, lending, RWA, gaming) and states what each record carries: slugs, ordering, page size, and extra aggregate fields for top-level categories. It also distinguishes itself from siblings by explaining that its slugs feed rank_projects, recent_funding_rounds and upcoming_projects, so an agent can place it in the tool graph without opening the schema.

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 downstream usage rule — 'Use a slug as the category filter of rank_projects, recent_funding_rounds and upcoming_projects' — which tells the agent why and when to call this tool first. What's missing is any exclusion or negative guidance (e.g. when to use find_projects instead of browsing categories), so it stops short of full when/when-not coverage.

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