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describe_image

Describes images by accepting local file paths, base64 data, or URLs, and returning structured text outputs from multimodal models for text-only agents.

Instructions

【仅限 GLM/DeepSeek 系列模型调用】Describe an image for a text-only agent. Accepts a local path, base64 image data, or URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes
instructionNoOptional extra instruction for what to describe.
focusNoOptional visual area or topic to focus on.
detailNoHow much visual detail to request from the vision model.medium
maxTokensNo
modelNoOptional Claude model override. Defaults to VISIONTOOL_MODEL or claude-opus-4-8.
_caller_modelNo【限制项】调用方模型名。仅限 GLM / DeepSeek 系列模型调用此工具,其他模型将被拒绝。
Behavior2/5

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

No annotations provided, so description must carry behavioral disclosure. It does not mention authorization needs, rate limits, error handling, or output format. Only states basic function.

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?

Description is concise and front-loaded with essential information (model restriction and function). However, could be better structured with clearer sections.

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?

Tool has 7 parameters with nested objects and no output schema. Description fails to explain return values, error behavior, or usage examples. Insufficient for a complex tool.

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

Parameters3/5

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

Schema covers 71% of parameters with descriptions. Description adds limited value beyond schema (e.g., listing input methods). Baseline score due to high schema coverage.

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?

Description clearly states it describes an image for a text-only agent and lists input types (path, base64, URL). Distinguishes from sibling tools like 'compare_images' and 'ocr_image' implicitly by focusing on description, but could be more explicit.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives like 'answer_about_image'. Includes a model restriction (GLM/DeepSeek) but does not explain usage context or edge cases.

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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