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kareemaly

MD-PDF MCP Server

by kareemaly

convert_pdf_to_markdown

Convert PDF documents to Markdown format for easier editing and content reuse. Specify input PDF path and optional output filename to transform PDF content into structured Markdown text.

Instructions

Convert a PDF file to Markdown format.

Args: pdf_file_path: Path to the PDF file to convert output_filename: Name of the output Markdown file (if not provided, uses same name as input with .md extension)

Returns: A message indicating success or failure of the conversion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pdf_file_pathYes
output_filenameNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool performs a conversion and returns a success/failure message, but lacks details on critical behaviors like error handling, file system interactions (e.g., overwriting files), performance characteristics, or format fidelity. This is inadequate for a mutation tool with zero annotation coverage.

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 well-structured and front-loaded with the core purpose, followed by clear sections for Args and Returns. Every sentence earns its place by providing essential information without redundancy, making it efficient and easy to parse.

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

Completeness3/5

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

Given the tool's moderate complexity (file conversion with 2 parameters), no annotations, and no output schema, the description is minimally adequate. It covers the basic operation and parameters but lacks details on output format, error cases, or integration with sibling tools, leaving gaps for an AI agent to infer behavior.

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

Parameters4/5

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

The description adds significant value beyond the input schema, which has 0% description coverage. It explains that 'pdf_file_path' is the 'Path to the PDF file to convert' and 'output_filename' defaults to the input name with .md extension if not provided. This clarifies parameter purposes and default behavior, though it doesn't cover format constraints or examples.

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's purpose as 'Convert a PDF file to Markdown format' with a specific verb ('Convert') and resource ('PDF file'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'extract_text_from_pdf' or 'convert_markdown_file_to_pdf', which prevents a perfect score.

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 like 'extract_text_from_pdf' (which might extract raw text without Markdown formatting) or 'convert_markdown_file_to_pdf' (the reverse operation). It mentions basic parameter usage but lacks context about appropriate scenarios or exclusions.

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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