Analyze Image

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It lists input categories and says 'understanding' but fails to mention what the tool returns, whether it answers questions, or any limitations. This leaves the agent without critical context about the tool's behavior or outputs.

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 sentence that front-loads the 'General-purpose' qualifier and lists supported image categories without redundancy or fluff. Every word contributes to defining the scope, 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?

This tool has five parameters and no output schema, yet the description only provides a high-level scope and omits expected output format, any behavioral caveats, or edge cases. For a general-purpose tool of this complexity, the description is too thin to be fully complete without relying on external context.

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 input schema covers all five parameters with thorough descriptions (100% coverage), and the tool description adds no additional parameter context or usage nuances. Since the schema already does the heavy lifting, the baseline of 3 is appropriate.

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 the specific verb phrase 'image understanding' and enumerates concrete image categories (photos, screenshots, documents, objects, scenes, visual questions), clearly establishing what the tool does. The explicit 'General-purpose' label distinguishes it from the specialized sibling tools, making its scope unmistakable.

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 'General-purpose' label implies usage for broad image understanding tasks, but the description neither explicitly states when to prefer this tool over siblings nor includes exclusions or alternatives. An agent would have to infer from sibling names, so usage guidance is only implied, not explicit.

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