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intsig-textin

Textin MCP Server

Official

recognition_text

Extracts text from images, Word documents, and PDF files using OCR. Returns recognized text content.

Instructions

Text recognition from images, Word documents, and PDF files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesRead the complete contents of a file from the file system.
Behavior2/5

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

No annotations provided, and the description only states the action without disclosing outcomes, side effects, or requirements. It does not indicate whether the tool reads and returns text or modifies files.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single concise sentence that properly front-loads the purpose. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should explain what the tool returns (e.g., extracted text) but does not. Missing details on error handling or supported file types specifically.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the parameter description ('Read the complete contents of a file from the file system') is generic and adds little beyond the schema. It does not specify allowed file extensions or constraints beyond the tool's general purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool performs text recognition from images, Word documents, and PDF files. It distinguishes from siblings by specifying input formats, though it could be more explicit about the output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. It does not mention when not to use it or any prerequisites.

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

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