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

There are no annotations, so the description must disclose behavioral traits. It does not mention pagination, authentication, rate limits, side effects, or the nature of the response (e.g., whether it returns partial results via cursor). The claim of 'all retweets' contradicts the presence of a cursor parameter, suggesting pagination, but this is not clarified. Billing info is present but not behavioral transparency.

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 very brief, containing two short sentences. It is front-loaded with the core purpose and then adds metadata (Group and billing). There is no fluff, but it is under-specified. For conciseness it earns a high score, though the brevity sacrifices essential information, which is penalized elsewhere.

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 the absence of annotations, no output schema, and 0% schema description coverage, the description provides almost no context. It does not explain what the response contains, how pagination works, or the meaning of the parameters. For a tool with 3 parameters and a cursor, this is severely inadequate.

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 0%, so the description must explain the parameters. It fails to mention count or cursor at all. The only parameter name that is self-explanatory is tweetId, but count and cursor have no meaning provided, leaving the agent to guess their roles.

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 states 'Receive all retweets for a tweet' which clearly identifies the verb (receive) and resource (retweets for a specific tweet). It distinguishes from siblings like get_tweet_tweetId (which likely returns the tweet itself) and get_tweet_tweetId_favorites (likes). However, the phrase 'all retweets' is ambiguous about whether it returns the retweeted tweets or a list of retweeters, but the core purpose is evident.

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 guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or when not to use it. It simply states the operation without any contextualization relative to sibling tools.

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