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intsig-textin

Textin MCP Server

Official

general_information_extration

Automatically extract key information from documents, including names, dates, and amounts. Use this tool to parse files and retrieve structured data.

Instructions

Automatically and intelligently extract key information from documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesRead the complete contents of a file from the file system.
Behavior1/5

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

No annotations are present, and the description fails to disclose any behavioral traits such as mutation, idempotency, error handling, or output format. 'Automatically and intelligently' is uninformative.

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

Conciseness2/5

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

The description is a single sentence, which is concise but overly terse. It lacks structure and fails to provide essential details, sacrificing completeness for brevity.

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

Completeness1/5

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

Given the tool's complexity (extracting key information), the lack of output schema, and no annotations, the description is grossly inadequate. It does not explain what information is extracted, how it works, or any limitations.

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

Parameters3/5

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

With 100% schema description coverage, the input parameter 'path' is clearly documented in the schema. The tool description adds no new meaning, meeting the baseline.

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?

The description clearly states the tool extracts key information from documents, which distinguishes it from sibling tools like doc_to_markdown (conversion) and recognition_text (text recognition). However, 'key information' is vague.

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 is provided on when to use this tool versus its siblings. The description does not mention prerequisites, contexts, or alternatives.

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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