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analyze_image

Analyze an image with Google Gemini AI by providing a file path or URL. Get automatic type detection and secure validations.

Instructions

Securely analyze an image using Google Gemini AI with automatic type detection and security validations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlNoURL to fetch the image from (https/http only)
image_pathNoAbsolute path to the image file (jpg, png, webp only)
analysis_typeNoForce specific analysis type (optional)
Behavior2/5

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

With no annotations, the description must disclose safety and behavior, but it only vaguely mentions 'security validations' and 'securely'. It doesn't state whether the operation is read-only, what happens on validation failure, or how it handles remote URLs vs local paths. The behavioral traits are under-specified.

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, compact sentence that front-loads the main action. There is mild redundancy between 'Securely' and 'security validations', but no wasted words or irrelevant detail.

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 a oneOf constraint (image_path or image_url) and an optional analysis_type, but the description doesn't explain these constraints or the return value. Without an output schema or annotations, the description should provide more behavioral and usage context, but it remains minimal.

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?

The input schema has 100% parameter description coverage, providing clear meanings for image_path, image_url, and analysis_type. The description adds only a hint about 'automatic type detection' which relates to analysis_type but is already implied by the schema's optional enum. No additional parameter-level context is provided.

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

Purpose5/5

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

The description uses a specific verb ('analyze') with a clear resource ('an image'), and adds a method ('using Google Gemini AI') and scope ('automatic type detection'). This distinguishes it from sibling tools like upload_to_supabase and get_security_status.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools, prerequisites, or exclusions. The context is only implied by the action described, not explicit.

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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