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

With no annotations provided, the description carries the full burden of behavioral disclosure. It usefully states that the tool performs no AI analysis and returns timestamped, linkable Markdown with a video metadata header, which goes beyond the schema. It does not explicitly mention payment or auth side effects, though the x_payment parameter description covers that requirement.

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 concise and front-loaded with the core purpose, followed by the output format and a clear routing instruction. Every sentence earns its place and there is no redundant filler.

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 simple two-parameter schema, the presence of an output schema, and explicit sibling differentiation, the description is largely complete. It could be slightly more explicit about the required x_payment and the read-only nature, but those are partially covered by the schema context.

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 100%, so the schema already documents both video_url and x_payment. The tool description does not add additional parameter-level meaning, which is acceptable given the high schema coverage.

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 returns a raw YouTube transcript as a Markdown file and explicitly notes 'no AI analysis.' It also names the differentiator by pointing to get_video_intelligence for AI summaries, making its purpose distinct from siblings.

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 says 'For AI summaries use get_video_intelligence,' giving the agent a clear when-not-to-use instruction. The phrase 'raw YouTube transcript' plus the contrast with AI analysis conveys the appropriate use case effectively.

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