Extract clean text and table markdown from images using AI vision. Simplifies OCR for web scraping and data processing.
Extract clean text and table markdown from images via Workers AI Vision Llama 3.2
| Name | Required | Description | Default |
|---|---|---|---|
| imageUrl | Yes | Public image URL to parse |
Changes observed during successful MCP inspections.
v1.2.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the primary behavior (extracting text and tables) and the underlying model (Llama 3.2 via Workers AI), which gives some context. However, it does not mention limitations, failure modes, or output structure beyond 'clean text and table markdown', so transparency is partial.
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 a single, front-loaded sentence with a clear verb and object. Every word is informative, and there is no wasted text.
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?
The tool is simple with one parameter and no output schema, so the description should explain return values more fully. It mentions text and table markdown but not the exact format or limitations. The name 'shrink' is also left unexplained, creating a minor gap.
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%, so baseline is 3. The description does not add extra parameter details beyond the schema's clear definition of 'imageUrl'. It does not compensate with additional context, so a 3 is appropriate.
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 clean text and table markdown from images, using a specific verb and resource. It distinguishes itself from sibling tools which focus on text, embeddings, or code, making its purpose unmistakable.
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 is implied by the description—it's for OCR on images—but no explicit 'when to use' or 'when not to use' is provided. There is no mention of alternatives or exclusions, so it lands at the 'implied usage' level.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.