analyze_image

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only promises 'structured JSON', which conflicts with the output_format parameter allowing markdown or text, and it does not mention whether the operation is read-only, any auth needs, or how the image is supplied.

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?

One sentence, front-loaded with the core purpose, and no filler. It is an appropriate size for the limited information provided.

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?

With five optional parameters, no output schema, no annotations, and a family of specialized sibling tools, the description is too thin. It leaves unclear when to prefer this tool over analyze_ui_screenshot or analyze_chart_image, what the JSON structure looks like, and how output_format changes returned data.

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 80%, and the parameter descriptions already explain file_id advantages, MIME handling, and output_format choices. The tool description adds no extra parameter semantics, 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?

States 'Analyze a general image' with a specific verb and resource, and the word 'general' sets it apart from specialized siblings like extract_text_from_image or analyze_chart_image. However, it does not specify what kinds of analysis are performed or what the returned structured JSON contains.

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 phrase 'general image' implies broad use compared to specialized alternatives, providing implicit guidance. But there is no explicit when-to-use/when-not-to-use, no named alternative tools, and no mention of trade-offs like file_id versus image_base64 beyond the schema.

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