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WendongAI

1pdf

by WendongAI

pdf_to_excel

Convert PDF files into Excel .xlsx spreadsheets to extract tables and enable data editing.

Instructions

Convert a PDF to an Excel spreadsheet (.xlsx). Requires LibreOffice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesAbsolute path to the PDF file
output_nameNoOutput file path (defaults to same dir with suffix)
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral transparency. It discloses the LibreOffice dependency and the output format, but it does not mention anything about conversion fidelity, handling of scanned PDFs, limitations, or side effects. For a conversion tool, this is a significant gap.

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?

A single, clear sentence that immediately states the tool's purpose and a critical dependency. No wasted words, all information is relevant and front-loaded.

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?

For a simple converter, the description is adequate but minimal. It lacks details about return values, whether the entire PDF is converted or just tables, and how it handles complex layouts. Given the large number of sibling tools, a bit more context would help disambiguate from extract_tables, but the basic functionality is conveyed.

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 parameters (file, output_name) are already well-documented. The description adds no extra meaning about parameter behavior, defaults, or constraints. Baseline 3 is appropriate since the schema does the heavy lifting.

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 specific action ('Convert') and the resource ('PDF to an Excel spreadsheet (.xlsx)'). This unambiguously differentiates it from sibling conversion tools like pdf_to_docx or extract_tables, which target different output formats or extraction modes.

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 provides no guidance on when to use this tool versus alternatives. It only notes 'Requires LibreOffice,' which is a prerequisite but does not clarify scenarios such as 'use extract_tables for table extraction' or 'use this for full-fidelity spreadsheet conversion.' No excluded cases or alternatives are mentioned.

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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