ocr_chart_paddleocr_vl

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

No annotations are provided, so the description carries the burden. It discloses that it returns structured data and requires the paddleocr-vl Swift CLI, and mentions multilingual support. However, it does not discuss failure modes, permissions, or the exact structure of the returned data, leaving gaps.

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 concise and front-loaded with the primary purpose in the first sentence. The subsequent backend and requirement details are relevant and add value without fluff.

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?

Despite having useful context (backend, accuracy, CLI requirement), the description lacks parameter explanations and an output format, and there is no output schema to compensate. For a tool with no annotations and sparse schema, this is incomplete for reliable invocation.

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 0% and the description does not explain any of the three parameters (path, lang, mode). The only hint is 'from an image' implying path, but lang and mode are entirely unexplained. The description adds no parameter meaning beyond the schema.

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 'Extract chart data from an image' with a specific verb and resource, and the backend info distinguishes it from sibling OCR tools. The tool name and description align, making purpose unambiguous.

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?

It provides clear context for when to use this tool: for chart extraction from images, with a note on the backend and accuracy. However, it doesn't explicitly mention alternatives or when-not-to-use, relying on the tool name and sibling context.

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