Skip to main content
Glama
pdfdotco

PDF.co MCP Server

Official
by pdfdotco

read_pdf_forms_info

Extract fillable PDF form field details from any PDF file to identify and process form inputs automatically.

Instructions

Extracts information about fillable PDF fields from an input PDF file.
Ref: https://developer.pdf.co/api/forms/info-reader.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to the source PDF file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.
api_keyNoPDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)
passwordNoPassword of PDF file. (Optional)
httppasswordNoHTTP auth password if required to access source url. (Optional)
httpusernameNoHTTP auth user name if required to access source url. (Optional)
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It does not mention output format, whether authentication is required, or any side effects; it only states a high-level extraction action.

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 concise sentences with no filler. It front-loads the primary purpose and includes a reference link for details.

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?

Without an output schema, the description should clarify what information is returned, but it only says 'information about fillable PDF fields' without specifics. The tool has 5 parameters and no annotations, so the description is too thin for an agent to fully understand usage.

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 has 100% coverage of parameter descriptions, so baseline 3 applies. The description adds no additional meaning beyond the schema's parameter documentation.

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 uses a specific verb 'Extracts' and specifies the resource as 'information about fillable PDF fields from an input PDF file', clearly distinguishing it from sibling tools like fill_forms or create_fillable_forms.

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 provides no guidance on when to use this tool versus alternatives. It simply states its function without mentioning scenarios, exclusions, or alternative tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pdfdotco/pdfco-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server