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 using 'vision AI' and lists output types, but does not disclose whether the operation is read-only, whether data is stored, potential latency, network requirements, or side effects. This is a significant gap for safe tool invocation.

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 two sentences long and front-loaded with the core purpose. It efficiently conveys input format and output summary without redundancy or filler. 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?

For a tool with 3 parameters and no output schema, the description adequately summarizes what the tool does and the general nature of its returns. However, it lacks details about the response structure or behavior under different detail levels, which would be helpful given the absence of an output schema. Still, it is sufficiently complete for a general analysis tool.

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% with each parameter (image, detail, prompt) fully described in the schema. The description's mention of 'Provide either a URL or base64-encoded image data' simply restates the schema's image parameter description. It adds no new meaning beyond what the schema already provides, so the baseline score of 3 applies.

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 uses a specific verb ('Analyze') and resource ('an image'), and lists concrete output categories (objects, text, colors, scene description) that clearly distinguish it from sibling tools like compare_images, extract_text, and describe_scene. This makes the tool's purpose unambiguous.

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 implies general-purpose analysis by listing multiple output types, but it does not explicitly state when to use this tool vs. alternatives like extract_text or describe_scene. There is no mention of exclusions or when-not-to-use scenarios, only input format guidance.

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