ocr_table

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

No annotations are provided, so the description carries the full burden. It helpfully discloses that output is structured table data (partially compensating for the missing output schema), but says nothing about input formats beyond the schema, size limits, or failure behavior.

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?

A single front-loaded sentence with the recognition action first and the return type second. No wasted text, though it is short enough that more could have been said without bloat.

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 tool with no annotations and no output schema, the description never clarifies what 'structured table data' means, what image types are accepted, or how errors surface; the core return contract is left undefined.

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%, documenting both 'source' and 'language', so the schema does the heavy lifting and a baseline 3 applies. The description adds no parameter-level detail such as supported URL schemes or language codes.

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?

States a specific verb+resource: recognize tables in images and return structured table data. The focus on 表格 implicitly distinguishes it from siblings ocr_recognize, ocr_handwrite, and ocr_formula, though it never names them.

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 explicit when-to-use guidance, no exclusions, and no mention of the sibling OCR tools. Selection between ocr_table and ocr_recognize is left entirely to inference.

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