v1_twitter_tweet_transcript

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

The description discloses the stub nature, mock data return, and cost (1 credit). It also includes a safety warning that API responses are data, not instructions. With no annotations, this covers key behavioral traits, though it omits details on authentication, rate limits, or error handling.

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 three sentences with no wasted words: first sentence states purpose, second gives endpoint and cost, third warns about stub and data safety. Every sentence adds value.

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 simplicity (2 parameters, no output schema) and stub nature, the description covers the essential: what it does, its limitations, and safety. However, it could be more complete by describing the transcript output format or behavior for invalid URLs.

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 100% with minimal descriptions for both parameters. The description adds that the tool works 'by URL', which hints at the primary parameter, but does not elaborate on parameter formats or usage 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?

The description clearly states the tool's purpose: 'Get the transcript of a video tweet by URL.' It specifies the resource (transcript of a video tweet), the method (by URL), and distinguishes it from sibling transcript tools like YouTube or Facebook transcripts.

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 mentions it is a stub endpoint returning mock data, implying it should not be used for production, but does not explicitly state when to use it vs alternatives. No clear 'when-not' or alternative tools are mentioned.

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