Skip to main content
Glama

parse_file

Parse local or base64-encoded files into agent-readable text and first-page PDF images without storing anything. Use before store to extract entities from a file.

Instructions

Parse local or base64-encoded files into agent-readable text and first-page PDF images without storing anything. Use before store when you need to extract entities from a file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_contentNoBase64-encoded file content.
file_pathNoLocal file path. Preferred in local environments.
mime_typeNoOptional MIME type. Auto-detected from file_path when omitted.
original_filenameNoOptional filename hint for MIME detection and PDF parsing.
Behavior4/5

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

No annotations provided, so description handles transparency. Mentions no storage and output of text and images, but lacks detail on error handling, output format, or behavior with large files.

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?

Two sentences, front-loaded with purpose, no wasted words. Highly concise and easy to process.

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?

No output schema, so description should clarify return format. Mentions 'text and first-page PDF images' but not structure or data type. Good for intended use but could be more complete.

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 covers 100% of parameters with descriptions. The tool description adds context about preferred local file path but doesn't significantly enhance per-parameter semantics beyond schema.

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?

Clearly states it parses files into text and first-page PDF images, and explicitly says it does not store anything, distinguishing it from the 'store' sibling tool.

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

Usage Guidelines5/5

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

Explicitly tells when to use: 'Use before store when you need to extract entities from a file.' Provides clear guidance on context and intended workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/markmhendrickson/neotoma'

If you have feedback or need assistance with the MCP directory API, please join our Discord server