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pdfgate

PDFGate MCP Server

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by pdfgate

extract_form_data

Extract field values from a fillable PDF to retrieve a JSON object mapping each field name to its value. Use this to read submitted form data programmatically.

Instructions

Extract form field values from a fillable PDF. Returns a JSON object mapping field names to their values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentIdYesThe document ID of the fillable PDF
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It mentions the return value (a JSON object mapping fields to values), which adds some transparency, but it doesn't explicitly state whether the operation is read-only, if any side effects occur, or how errors are handled. The verb 'extract' implies a non-destructive read, but this is left implicit.

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?

The description is two sentences long, front-loaded with the action, and contains zero fluff. Every word earns its place, making it highly concise and well-structured.

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

Completeness4/5

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

Given the tool's low complexity (1 parameter, no output schema), the description adequately covers the primary behavior and return format. It doesn't specify error conditions or edge cases (e.g., non-fillable PDFs), but for a simple extraction tool this is a minor gap. The absence of a return schema is compensated by the explicit description of the JSON output.

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?

Schema description coverage is 100% (single parameter documentId clearly described as 'The document ID of the fillable PDF'). The description adds no additional parameter semantics beyond what the schema already provides, so a baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb 'Extract' and the resource 'form field values from a fillable PDF', distinguishing it from sibling tools like flatten_pdf (which flattens fields) and add_form_fields (which adds fields). It unambiguously identifies the tool's core function.

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?

The description offers no guidance on when to use this tool versus alternatives such as get_document or flatten_pdf. It doesn't mention prerequisites (e.g., the PDF must be fillable) or scenarios where this tool is preferred. No explicit when/when-not instructions are provided.

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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