clean_pdf_research

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the core parse/extract behavior and omits important traits such as how max_pages is applied, whether auth_token_or_tx is required for paywalled papers, or what happens with malformed or non-PDF URLs.

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?

One compact sentence with no filler, and the key resource is front-loaded. Minor redundancy in 'Parses and extracts' and the lack of any parameter-level context keep it from being a perfect 5.

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?

The output schema exists, so return values need not be described, but the tool involves three parameters including an optional auth token and page limit. The description does not address when or why those are used, and with no annotations to fill the gap, an agent is left under-equipped for non-trivial calls.

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?

Schema description coverage is 0%, so the description must compensate. It adds no detail for max_pages or auth_token_or_tx, and only weakly clarifies url by implying it should point to online PDFs. The required parameter is inferable, but the optional parameters remain unexplained.

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?

States a specific action ('Parses and extracts'), defines the input resource ('online PDF whitepapers and academic research papers'), and specifies the output ('structured plain text and metadata'). This clearly differentiates it from sibling tools like clean_web_content and clean_youtube_transcript, which target other media types.

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 implies the tool is for PDF-based research content but does not explicitly say when to prefer it over alternatives such as clean_web_content or clean_youtube_transcript, nor does it state any exclusions. An agent must infer usage from the resource type rather than being guided to the right choice.

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