vision_analyze

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

Without annotations, the description carries the full burden. It discloses key behavioral aspects: external AI processing via OpenRouter, support for local paths and URLs, and text output. Still, it does not explicitly state that the tool is read-only, nor does it mention potential failure modes, network/privacy implications, or rate limits.

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?

Two clear sentences, front-loaded with the core purpose, followed by input and output details. No filler or redundancy; every sentence earns its place.

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?

For a straightforward image-analysis tool with 100% schema coverage and no output schema, the description provides adequate context: what it does, where it runs, accepted input forms, and return type. It lacks richer details like error handling or model defaults, but those are either in the schema or not critical for a simple tool.

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?

Schema description coverage is 100%, so the schema already clearly documents all three parameters. The description adds minimal new meaning beyond restating that image_url can be a local path or URL and that output is text, which is already present in the schema. Baseline 3 applies.

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 specific action ('Analyze an image using AI vision'), identifies the subject (image), names the underlying provider (Gemini via OpenRouter), and clarifies accepted input types and output. It fully distinguishes the tool's purpose even without sibling tools present.

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 description clearly implies when to use the tool—whenever image analysis is needed—and gives examples in the schema. However, there is no explicit guidance on when not to use it or mention of alternative tools, though no siblings are listed.

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