pdfmux

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

With no annotations, the description carries full burden and does well by disclosing key behavioral traits: it's a 'cheaper' operation (cost efficiency), returns specific outputs (page count, type detection, etc.), and has an 'estimated extraction difficulty' aspect. It doesn't cover potential errors or performance details, but provides substantial context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is highly concise and front-loaded: the first sentence states the core purpose, followed by output details and cost comparison. Every sentence adds value without redundancy, making it efficient and well-structured.

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

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

Given the tool's moderate complexity (analysis without extraction), no annotations, and an output schema (which handles return values), the description is complete. It covers purpose, usage, outputs, and cost, leaving no significant gaps for an AI agent to understand and invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage for its single parameter (file_path). The description doesn't explicitly mention parameters, but implies the input is a PDF file through context ('PDF triage'). It adds value by clarifying the tool's scope, though more direct parameter guidance would be ideal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('classify type and audit page quality') and resource ('PDF'), distinguishing it from siblings like convert_pdf (full extraction) and get_pdf_metadata (metadata only). It explicitly mentions what it does NOT do ('without full extraction'), enhancing clarity.

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

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

The description provides explicit usage guidance: use for 'initial assessment' and 'quick PDF triage', and contrasts with convert_pdf ('Much cheaper than convert_pdf for initial assessment'). It implies when NOT to use it (when full extraction is needed), offering clear alternatives.

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