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. It discloses that local files are sent inline as base64 data URLs with a 25MB guardrail, which is useful behavioral context. However, it does not mention return format, side effects, or error handling, leaving significant behavioral aspects undisclosed.

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 three sentences, each earning its place: purpose, when to use, and input details. It is front-loaded with the action and avoids redundancy. No fluff or excessive detail.

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?

There is no output schema, so the description should convey the expected output implicitly. It adequately covers the main input, use case, and a key constraint (25MB guardrail). However, it omits response format and potential error conditions, which would be useful for a tool with no output schema. Overall, it is sufficiently complete for its complexity.

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%, so the baseline is 3. The description adds meaningful detail for `image_url`, explaining that it can be a public URL or local path, and that local files are base64-encoded with a size limit. It also names the underlying model, which informs parameter behavior. This goes beyond the schema.

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 'View, read, or analyze an image' and identifies the specific model (Qwen3.8-Max). It distinguishes from sibling tools that target video/audio, making the resource and action unambiguous. The concrete example ('[Unsupported Image]') further clarifies the purpose.

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 'Use this whenever you need to see an image you cannot view natively', providing a clear condition for use. It gives a concrete scenario but does not name sibling tools as alternatives, though the image focus implicitly excludes video/audio. No explicit 'when not to use' beyond the native viewing case.

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