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ask_about_image

Submit an image and a question to receive a direct answer about its content. Resolve visual details accurately with a targeted query.

Instructions

Answer a specific question about an image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes
questionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 transparency. 'Answer a specific question about an image' explains the broad behavior but does not disclose limitations, input format expectations, failure behavior, or whether the tool relies on an external model. This is minimally transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short, front-loaded sentence with no filler or redundancy. It is concise, but it sacrifices useful context and operational detail for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has only two simple parameters and an output schema, so the low complexity suggests a short description could be enough. However, the absence of annotations, absence of parameter semantics, and lack of sibling differentiation leave important context too vague for an agent to confidently choose and invoke the tool in varied situations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not meaningfully clarify the 'image' or 'question' parameters. The names are self-explanatory, but there is no guidance on what format 'image' should take or how 'question' should be phrased. The description does not compensate for the absence of parameter-level documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Answer a specific question about an image' clearly states the tool's core purpose with a specific verb and resource. It does not explicitly distinguish itself from siblings like describe_image or compare_images, though the word 'specific question' implies a Q&A interaction rather than open description or extraction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used when the user has a particular question about an image, but it never explicitly states when to use it instead of describe_image, extract_text, or compare_images. There is no explicit exclusion or alternative guidance, so usage context is only weakly implied.

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

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