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PSPDFKit

Nutrient DWS MCP Server

by PSPDFKit

document_processor

Destructive

Transform documents using Nutrient API: apply OCR, watermarks, redactions, and convert between formats including PDF, images, and Office.

Instructions

Process, convert, and transform documents using the Nutrient API. Reads input files from the local file system or sandbox (if enabled) and writes results back locally.

Features: • Import XFDF annotations • Flatten annotations • OCR processing • Page rotation • Watermarking (text/image) • Redaction creation and application

Output formats: PDF, PDF/A, images (PNG, JPEG, WebP), JSON extraction, Office (DOCX, XLSX, PPTX)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputPathYesA path to the output file to. (if required) Resolves to sandbox path if enabled, otherwise resolves to the local file system.
instructionsYesBuild instructions.
Behavior3/5

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

Annotations indicate destructiveHint=true and readOnlyHint=false, consistent with the description of writing results locally. The description adds context about reading from local file system or sandbox, but does not elaborate on what destructive means (e.g., overwriting output files). No contradiction with annotations.

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

Conciseness4/5

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

The description is concise, using a bullet list of features. It is front-loaded with the high-level purpose. Every sentence adds value, though it could be even more streamlined.

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 complexity (nested parameters, many actions and output types), the description provides a high-level overview but lacks details on how to use the actions or interpret output. The rich schema compensates, but more context would help.

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 description does not need to add much. The description lists features but does not explain parameter semantics beyond what the schema provides. 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 tool's purpose: 'Process, convert, and transform documents using the Nutrient API.' It lists specific features and output formats, and it distinguishes itself from sibling tools like ai_redactor (focused on AI redaction) and document_signer (focused on signing).

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 does not provide explicit guidance on when to use this tool versus alternatives. It does not mention when to prefer this over ai_redactor or document_signer, nor does it state when not to use it (e.g., for simple redaction 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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