analyze_image

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 mentions the payment requirement which is useful, but doesn't describe what kind of analysis is performed, what the output format might be, whether there are rate limits, authentication requirements beyond payment, or any error conditions. For a tool with 4 required parameters and no output schema, this leaves significant behavioral gaps.

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 extremely concise with just two sentences that both earn their place. The first sentence establishes the core purpose, and the second adds a critical constraint. There's zero wasted language, and the most important information is front-loaded appropriately.

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 tool with 4 required parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what kind of analysis is performed, what the output looks like, or provide context about the AI vision models mentioned. The payment requirement is helpful, but doesn't compensate for the lack of behavioral context needed for proper tool invocation.

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 all 4 parameters thoroughly. The description doesn't add any additional parameter semantics beyond what's in the schema. It mentions the payment requirement which relates to the paymentId parameter, but this is already covered in the schema description. Baseline score of 3 is appropriate when schema does the heavy lifting.

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 action ('analyze') and resource ('image') using specific verbs and resources. It mentions 'AI vision models' which provides additional context about the technology used. However, it doesn't explicitly differentiate this tool from potential sibling tools like 'generate_image' or 'generate_video_from_image' which might also involve image processing.

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 provides one explicit usage constraint ('Requires a valid paid payment ID') which is helpful. However, it doesn't explain when to use this tool versus alternatives like 'generate_image' or 'generate_video_from_image' that might also work with images. There's no guidance about when this analysis tool is preferred over other image-related tools.

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