vision

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

No annotations are provided, so the description must cover behavioral aspects. It explains that the tool uses a 'vision-capable model' and returns text, but it does not disclose potential failure modes (e.g., unsupported file formats), permissions needed, or whether the operation reads but does not modify data. This leaves gaps for an AI agent.

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 extremely concise: two sentences that immediately convey the tool's purpose, usage context, and a key requirement (absolute path). No redundant information is present.

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 tool's simplicity (2 parameters, no output schema), the description covers essential aspects: what the tool does, when to use it, and a key parameter requirement. It could elaborate on return format or limitations, but it is largely sufficient for a straightforward 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 coverage is 100%, so the description's contribution is limited. It reiterates that the path should be an 'absolute file path,' which is already in the schema. The description does not add new semantics beyond the schema, meeting the baseline for high coverage.

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 clearly states the tool's purpose: 'Analyze a local image file using a vision-capable model and return a text description.' It includes a specific use case ('whenever the user shares an image/screenshot'), distinguishing it from potential alternatives even though no siblings are listed.

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 explicitly advises when to use this tool: 'Use this whenever the user shares an image/screenshot.' While it does not provide when-not or alternatives, the guidance is clear and context-appropriate given no siblings.

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