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parse_file

Parse local or base64-encoded files into text and first-page PDF images without storing. Use before storing 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.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions that nothing is stored, which is crucial, and outlines the output (text and PDF images). However, it lacks details on error handling, behavior when both file_content and file_path are provided, or size limitations.

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, front-loads the core action, and contains no unnecessary words. Every sentence serves a purpose.

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?

Despite the absence of an output schema, the description adequately explains the output (text and first-page PDF images). It covers the main use case but could mention supported file types or size limits for completeness.

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 coverage is 100%, so the schema already documents all parameters. The description adds context about file sources and output type but does not provide additional meaning beyond what the schema offers for individual parameters.

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 parses local or base64 files into text and first-page PDF images, with a specific verb and resource. It distinguishes from sibling 'store' by mentioning it extracts entities before storing.

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 explicitly advises 'Use before store when you need to extract entities from a file,' providing clear context for use. It implies when not to use but does not list alternatives or explicit exclusions.

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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