Quote tweets of a post

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

Annotations already declare readOnlyHint=true, covering the read-only nature. The description adds a valuable caveat: quote creation is Enterprise-only but reading is not, which clarifies availability for self-serve users. However, it does not mention pagination behavior or return format, and given the openWorldHint, some uncertainty remains. The description adds some context beyond annotations but not rich behavioral detail.

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 short (two sentences) and front-loaded with the endpoint. It is efficient with no fluff, though it omits critical details. The conciseness is good, but the sparsity borders on under-specification.

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 tool with 3 parameters, no output schema, and limited schema descriptions, the description is inadequate. It fails to explain what post_id refers to, how max_results and pagination_token work, or what the response looks like. An agent would need external knowledge to call this correctly. The annotations cover read-only safety but not operational details.

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 coverage is only 33% (only pagination_token has a description). The description does not explain post_id, max_results, or pagination_token usage at all. With low schema coverage, the description should compensate, but it provides zero parameter information, leaving the agent to guess the meaning and constraints of the parameters.

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 states the endpoint and the resource: it retrieves quote tweets of a post (GET /2/tweets/:id/quote_tweets). It also clarifies that this is a read operation, distinguishing it from quote creation. However, it does not explicitly differentiate from sibling retrieval tools like x_organic_get_post, though the title is specific enough.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives. It only notes the Enterprise restriction on creation, which is tangential to usage selection. No when-to-use or when-not-to-use scenarios are given, leaving the agent to infer from the title and sibling names.

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