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WendongAI

1pdf

by WendongAI

ai_summarize

Extract key text from PDFs and generate concise summaries. Get the essential content without reading the full document.

Instructions

Extract and summarize the text content of a PDF (returns key text).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesAbsolute path to the PDF file
Behavior3/5

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

With no annotations provided, the description carries the full burden. It implies a non-destructive read operation ('Extract') and reveals output behavior ('returns key text'), but it does not disclose limits (e.g., scanned files), return format details, or whether it preserves formatting. This is minimally informative but not contradictory.

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 a single, front-loaded sentence that directly states the action and outcome. It avoids fluff and is appropriately concise for a one-parameter tool, though it could be slightly more explicit about the summary nature.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the large sibling set with overlapping PDF-text tools, the description lacks contextual completeness. It does not clarify the relationship to get_page_text, ai_extract_info, or ai_chat_with_pdf, nor does it explain how the summary is structured (e.g., length, format). The absence of an output schema makes this gap more significant.

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% with a single parameter ('file') described as 'Absolute path to the PDF file'. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 applies.

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 uses a specific verb+resource combination ('Extract and summarize the text content of a PDF') and clarifies the output as 'returns key text'. This distinguishes it from extraction-only siblings like get_page_text and interactive tools like ai_chat_with_pdf, though 'extract and summarize' could be more precise about whether it returns a full extraction or a true summary.

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?

No guidance is provided on when to use this tool versus alternatives. Siblings like get_page_text, pdf_search, ai_extract_info, and ai_chat_with_pdf serve related but distinct purposes, yet the description does not mention any trade-offs, exclusions, or preferred scenarios.

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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