image_extract

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

No annotations exist, so the description should fully disclose behavior. It does not mention any side effects, permissions, or operational constraints. The tool likely uses a vision model, but this is not stated.

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 (one sentence), but it is under-specified. It could be expanded slightly without losing conciseness to add value.

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 has 6 parameters (3 required) and an output schema, the single-sentence description is insufficient. It does not cover how to use required fields or what the output contains.

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 has 0% description coverage, meaning no parameter docs. The description only hints at json_schema via 'schema validation' but does not explain any of the 6 parameters, leaving the agent without guidance.

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 extracts structured data from an image with schema validation, which distinguishes it from sibling tools like image_analyze (generic analysis) and image_to_spec (conversion). The verb 'extract' and resource 'image' are specific.

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_analyze or image_to_spec. The description lacks any 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.