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pdf-toolkit-mcp

pdf-toolkit-mcp

by EigenCharlie
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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repair_pdf

Repair damaged or malformed PDF files that fail to open. Fixes scanned PDFs to ensure proper rendering and accessibility.

Instructions

Attempt to repair a damaged or malformed PDF. Useful for scanned PDFs that fail to open or render correctly in some readers. Produces a .pdf file on disk.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "input_file": "<input_file>"
    },
    "name": "repair_pdf"
  }
}

Input Schema

NameRequiredDescriptionDefault
input_fileYesPath to the damaged PDF file to repair.
output_pathNoOptional output path. If it ends with the expected extension, the file is written there. If it is a directory, the file is placed inside with a timestamped name. Defaults to the same directory as the first input.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.8/5.0
Behavior2/5

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

No annotations are provided, so the description bears the full burden. While it honestly states the tool 'attempts' to repair, it lacks details on failure behavior, potential side effects (e.g., modification of original), permission requirements, or success guarantees. Minimal behavioral disclosure.

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-loads the purpose, and contains no superfluous words. Every sentence provides value.

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?

For a simple repair tool with no output schema, the description covers the main action and output format. However, it could mention what happens if the repair fails or if the original file is preserved. Slight gaps prevent a perfect score.

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%, so the schema already documents both parameters. The description adds no new information beyond what is in the schema (input_file and output_path). According to the rules, baseline is 3.

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 action ('repair'), the resource ('damaged or malformed PDF'), and the output (a .pdf file on disk). It distinguishes from sibling tools like compress or merge, as repair addresses a distinct use case.

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

Usage Guidelines4/5

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

The description specifies when to use the tool ('useful for scanned PDFs that fail to open or render correctly'), providing clear context. It does not explicitly mention when not to use it or suggest alternatives, but the sibling list implies other tools for different tasks.

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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