lip_sync

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

With no annotations provided, the description carries the full burden. It only states that the AI animates the face to appear as if speaking and mentions a cost of ~14 credits. It lacks details on processing time, output format, photo requirements, or whether the tool is read-only (it is generative, so not read-only). This minimal disclosure is insufficient.

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 concise: three sentences plus a cost note. It front-loads the main purpose and adds relevant context without unnecessary repetition or fluff. Every sentence earns its place.

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 presence of an output schema, the description does not need to explain return values. It covers the core purpose and usage, but lacks behavioral details (e.g., limitations, processing time) and does not mention prerequisites. Overall it is adequate but has noticeable gaps.

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 100% description coverage, with each parameter already explained concisely (prompt: speech/dialogue, image_url: URL of face photo). The description does not add any additional parameter semantics beyond what the schema provides, so the baseline score of 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 creates a talking avatar from a photo using AI lip sync. It specifies the verb 'create', the resource 'talking avatar', and the method 'AI lip sync', distinguishing it from other media tools like generate_video or swap_face.

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's great for presentations, social media, and content creation, implying appropriate use cases. However, it does not provide explicit guidance on when not to use this tool or suggest alternatives among the many sibling tools.

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