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extract_document_text

Extract plain text from document files (.txt, .md, .csv, .html, .pdf, .docx) by specifying the path. Supports files up to 20MB with configurable size limit.

Instructions

Extract plain text from a document file at a given path. Supports .txt / .md / .csv (read as UTF-8), .html (strip tags), .pdf (regex scrape — best-effort, may return [PDF text extraction yielded nothing] for image-only PDFs), .docx (xml-strip). Default size cap 5MB; override via maxBytes (up to 20MB). Returns {ok, path, ext, sizeBytes, textLength, text}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute or working-dir-relative file path.
maxBytesNoMax file size to attempt (default 5MB).
Behavior4/5

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

With no annotations provided, the description adequately covers behavioral traits: size limits (default 5MB, max 20MB), best-effort PDF extraction, and return structure. It lacks explicit mention of error handling (e.g., file not found) but overall is transparent.

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 concise, with three sentences that efficiently convey all necessary information without redundancy or wasted words.

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 tool has 2 parameters, no output schema, and returns a structured result, the description covers the return fields. It could mention error responses (like unsupported format) but is largely complete for its complexity.

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?

Schema coverage is 100%, and the description adds value by specifying the default maxBytes (5MB) and that path can be absolute or relative, enhancing the schema's bare descriptions.

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 extracts plain text from a document file, lists supported formats and extraction methods, and distinguishes itself from sibling tools (none of which perform text extraction from files).

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 provides clear guidance on when to use the tool (for supported file types) and outlines expectations for each format, including limitations for PDFs. It does not explicitly state when not to use or mention alternatives, but none are apparent among siblings.

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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