ask_about_video

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

No annotations are provided, so the description carries the burden. It discloses the crucial async behavior for TikTok/Instagram, which is important for correct usage. Could add more detail on auth requirements or rate limits, but key behavior is covered.

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?

Two sentences, no wasted words. First sentence states purpose, second adds critical behavioral difference. Efficient and front-loaded.

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 tool's complexity (async behavior, multiple platforms), the description covers essential behavioral differences. It mentions output schema exists implicitly by referencing job_id and check_analysis_job. Could mention error handling or that job_id is in response, but overall sufficient.

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%, baseline is 3. The description does not add much beyond the schema; it only states the purpose and async behavior. The model parameter default is already in the schema. No extra semantic enrichment.

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 'Ask a specific question about a video' which is a clear verb-resource pair. It distinguishes from siblings like 'analyze_video' (general analysis), 'get_transcript' (retrieve text), and 'watch_and_analyze' (comprehensive). The platform-specific behavior further clarifies its scope.

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 explicitly tells how to handle responses: immediate for YouTube, polling with check_analysis_job for TikTok/Instagram. It implies this is for specific questions, but doesn't explicitly contrast with alternatives like analyze_video for summaries.

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