describe_image

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It does not state whether the operation is read-only, whether it modifies anything, if there are privacy implications (e.g., uploading the image), or any limitations such as supported file formats. This lack of transparency is a significant gap for an AI agent deciding to invoke the tool.

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 compact, using only two sentences. It front-loads the primary purpose in the first sentence and adds the optional usage detail in the second. There is no fluff or redundant repetition of schema information, making it highly concise and well-structured.

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?

The tool is simple with only two parameters, and an output schema exists, so the return value doesn't need explanation. However, the absence of annotations and textual disclosure of safety/behavior creates a completeness gap. Additionally, it does not address how this tool relates to the sibling 'describe_ui', leaving the agent without guidance on tool selection.

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 description explicitly explains the 'question' parameter ('ask something specific about the image instead of getting a general description'), which adds practical meaning beyond the schema. However, it never explicitly describes the 'path' parameter, leaving its format or constraints unmentioned. Given the 0% schema description coverage, this partial compensation is adequate but not thorough.

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 specific language 'Look at an image file' and 'return a detailed text description' to convey the action and resource. It clearly states the tool's purpose and the optional question usage. However, it does not distinguish itself from the sibling tool 'describe_ui', so it misses the opportunity to clarify what makes it unique.

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 clear context for when to use the tool: 'Look at an image file' implies visual content analysis, and it explains the optional question parameter for targeted queries. It does not explicitly mention when not to use it or compare it to alternatives, but the context is strong enough to guide typical use.

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