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search_pdf

Find specific text within PDF files from local paths or URLs using case-sensitive or case-insensitive search to locate information quickly.

Instructions

Search for specific text within a PDF file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute or relative path to the PDF file, or a URL (http:// or https://)
queryYesText to search for
caseSensitiveNoWhether search should be case-sensitive
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the basic function but doesn't disclose traits like whether it's read-only, potential performance impacts, error handling, or output format. For a search tool, this leaves key operational aspects unclear.

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 a single, efficient sentence that directly states the tool's function without any fluff or redundancy. It's front-loaded with the core purpose, making it highly concise and well-structured for quick understanding.

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 tool's moderate complexity (searching PDFs) and lack of annotations or output schema, the description is insufficient. It doesn't explain what the search returns (e.g., matches, positions, context), error cases, or limitations, leaving gaps in operational context.

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 description coverage is 100%, so parameters are well-documented in the schema itself. The description adds no additional meaning beyond implying text search functionality, which is already clear from the schema. This meets the baseline for high schema coverage without extra value.

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 clearly states the action ('Search for specific text') and resource ('within a PDF file'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'read_pdf' or 'read_pdf_page', which might also involve text extraction, so it misses full sibling distinction.

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 like 'get_pdf_metadata' or 'read_pdf'. It lacks any mention of prerequisites, exclusions, or comparative contexts, leaving the agent to infer usage from tool names alone.

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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