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read_pdf

Extract text content, metadata, and page counts from PDF files using relative paths or URLs within your project context.

Instructions

Reads content/metadata from PDFs. Paths must be relative to the project root. Project root can be set via: 1) --root command line argument, 2) PDF_READER_MCP_ROOT environment variable, or 3) process.cwd() (default). Absolute paths in the path parameter are rejected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourcesYesAn array of PDF sources to process, each can optionally specify pages.
include_full_textYesInclude the full text content of each PDF (only if 'pages' is not specified for that source).
include_metadataYesInclude metadata and info objects for each PDF.
include_page_countYesInclude the total number of pages for each PDF.
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it reads (not writes) PDFs, requires relative paths, rejects absolute paths, and explains project root configuration. It doesn't cover rate limits or error handling, but provides substantial operational context.

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 appropriately concise and front-loaded: the first sentence states the core purpose, followed by essential operational details. Every sentence adds value, though it could be slightly more structured for readability.

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 complexity (4 parameters, no output schema, no annotations), the description provides good contextual completeness. It explains the tool's purpose, path handling, and configuration, though it doesn't detail return values or error cases, which would be helpful without an output schema.

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 all parameters thoroughly. The description adds no specific parameter semantics beyond what's in the schema, maintaining the baseline score of 3 for high schema coverage.

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: 'Reads content/metadata from PDFs.' It specifies the verb ('reads') and resource ('PDFs'), making the function unambiguous. However, it doesn't differentiate from siblings since there are none, so it can't achieve a perfect score of 5.

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

Usage Guidelines3/5

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

The description provides implicit usage guidance by explaining path requirements and configuration options (e.g., relative paths, project root settings). However, it lacks explicit when-to-use guidance or comparisons with alternatives, as there are no sibling tools to reference.

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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