download_dblp

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: it doesn't actually download a PDF (due to dblp's limitations) and returns an informative message instead. This transparency helps the agent understand the tool's actual behavior, though it could add more context like error handling or rate limits.

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 well-structured and concise: a clear purpose statement, a note on limitations, and brief parameter and return explanations. Every sentence adds value without redundancy, making it easy for an agent to parse quickly.

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 low complexity (2 parameters, no annotations, but with an output schema), the description is complete. It covers purpose, limitations, parameters, and return value, and the output schema handles return details, so no gaps remain for effective agent use.

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 explains both parameters: 'paper_id: dblp paper identifier' and 'save_path: Directory to save the PDF (default: './downloads').' This adds meaning beyond the schema's basic types, clarifying what each parameter represents and the default value for save_path.

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: 'Download PDF for a paper from dblp.' It specifies the verb ('Download'), resource ('PDF for a paper'), and source ('from dblp'), distinguishing it from sibling tools like 'read_dblp_paper' or other download tools for different sources.

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: 'Note: dblp doesn't provide direct PDF access. This function returns an informative message.' This tells the agent when to use it (for dblp papers) and when not to expect a PDF download, setting clear expectations compared to alternatives like 'download_arxiv' or 'download_scihub'.

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