analyze_image
Analyze an image by sending a prompt to a vision model, enabling text-only LLMs to interpret visual content.
Instructions
General visual analysis of an image.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes | ||
| image_source | Yes |
Analyze an image by sending a prompt to a vision model, enabling text-only LLMs to interpret visual content.
General visual analysis of an image.
| Name | Required | Description | Default |
|---|---|---|---|
| prompt | Yes | ||
| image_source | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must shoulder the burden of disclosing behavior. It only says 'general visual analysis,' offering no details on expected inputs, outputs, limitations, or whether the operation is read-only. This is a significant gap.
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 a single, front-loaded sentence with no unnecessary words, achieving maximal brevity. However, the extreme brevity sacrifices substance, though that is a completeness issue rather than a conciseness issue.
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?
Given the two required parameters and the absence of output schema and annotations, this description is grossly incomplete. It fails to explain the role of the prompt, acceptable formats for image_source, or any expected output structure.
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 schema lists two parameters with no descriptions (0% coverage), and the tool description does not mention them. The agent is left without any explanation of what 'image_source' or 'prompt' should contain or how they affect the analysis.
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 states a clear verb ('analysis') and resource ('image'), but 'general' is vague and does not distinguish from sibling 'image_analysis' which is virtually identical. It lacks specifics about the type of analysis performed.
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?
No guidance is provided on when to use this tool versus alternatives like 'image_analysis' or 'analyze_data_visualization'. The description gives no context about appropriate use cases or exclusions.
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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