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

Annotations already cover read-only, idempotent, open-world, non-destructive, so the description is freed to add what they don't: the return shape ('user objects — handle, name, bio, follower count, verification — not tweets') and cursor pagination. It adds no permission, rate-limit, or ordering detail, which is the only real gap.

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?

Core content is three tight sentences with the scope statement front-loaded and the negative clarification ('not tweets') placed early. The injected pricing boilerplate adds bulk the author did not control, which keeps this just short of a 5.

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 tool with full schema coverage, an output schema, and rich safety annotations, the description supplies the missing return-type context and the sibling disambiguation an agent needs. Only ordering/result-count behavior is unspecified, a minor omission.

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 parameters (tweetId, cursor) are fully documented in the schema itself. The description echoes pagination via 'cursor-paginated' but adds no format, cursor-opacity, or max-page-size detail beyond the schema. Baseline 3 is appropriate.

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?

Specific verb and resource ('List the accounts that retweeted a given tweet') plus the pagination model. It also distinguishes itself from a close sibling by naming `get_twitter_tweet_quotes` as the tool for retweets with commentary, so an agent can route without opening either 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?

Gives an explicit use case ('map who amplified a message and how influential they are') and names the alternative tool for the adjacent case (quote tweets). It stops short of stating exclusions against the other retweet-adjacent siblings (replies, thread context), so it is clear context rather than complete routing guidance.

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