ocr_by_url

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

With no annotations, the description carries the full burden. It discloses behavioral traits like rotation based on EXIF, binarization, and auto-enhancement, which adds value. However, it does not mention potential side effects, error handling, redirect behavior, or details of the return result beyond a vague 'OCR recognition result.'

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 efficiently organized as an Args list, with each line earning its place. It is front-loaded with the main purpose and avoids redundant filler, maintaining a compact and scannable format.

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?

While the parameter details are solid, the absence of an output schema means the description should clarify return value structure or formats. It only states 'OCR recognition result' without explaining differences between output formats or error cases, leaving some contextual gaps for a 6-parameter 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 0%, so the description fully compensates by explaining each parameter's purpose, including enumerating output_format options (plain/json/markdown/structured). This goes well beyond the schema's bare types and defaults, adding meaningful context for correct invocation.

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 'Perform OCR recognition on URL images' using a specific verb and resource. It distinguishes from sibling tools like ocr_by_path and ocr_by_content by explicitly targeting URL-based images.

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 usage context is implied via the tool name and description (use for images accessible via URL), but there is no explicit guidance on when to prefer this over alternatives or any exclusions. It lacks the explicit alternative naming seen in high-quality examples.

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