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

Beyond the readOnly/openWorld/destructive annotations, the description discloses concrete behavioral traits: transcript content does not expire and is reused, and requests are metered with potentially slower generation. This gives the agent actionable expectations not encoded in the schema.

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?

Four brief sentences, each carrying distinct information: the primary action, the output format, caching behavior, and performance characteristics. Front-loaded with purpose and no redundant language.

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 single-parameter tool with an output schema and strong annotations, the description covers operation, expected returns, caching, metering, and latency. There are no significant gaps; the description is complete for selecting and invoking this tool.

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?

The input schema has a single url parameter with 0% description coverage. The description only implies the URL should point to a TikTok video; it does not explicitly state accepted formats or normalization expectations. This is adequate but not fully compensating for missing schema descriptions.

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 opens with 'Fetch or generate a normalized TikTok video transcript,' a specific verb-object pair that precisely identifies the tool's function and scope. Mentioning 'TikTok' and 'transcript' clearly differentiates it from sibling tools like get_instagram_post_transcript.

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 provides clear operational context: canonical transcripts are reused on later requests and generation is metered/slow. This implies when a cached result may be available but does not explicitly name alternatives or exclusions, so it falls short of a 5.

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