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czwziy

scholar-toolkit-mcp

by czwziy

download_dblp

Tries to download a paper PDF from dblp using a paper ID. Returns an informative message because dblp does not provide direct PDF access.

Instructions

Download PDF for a paper from dblp.

Note: dblp doesn't provide direct PDF access. This function returns an informative message.

Args: paper_id: dblp paper identifier. save_path: Directory to save the PDF (default: './downloads'). Returns: str: Message indicating that direct PDF download is not supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idYes
save_pathNo./downloads

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

In the absence of annotations, the description carries the burden of behavioral disclosure. It explicitly states that the function returns an informative message rather than a PDF, which is key. However, it does not detail the format of the message, whether any network requests are made, or error conditions. It is partially transparent but lacks depth.

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 brief and to the point, with two short paragraphs and a bullet list. It front-loads the key limitation in the first line. There is no unnecessary verbosity. However, the 'Returns' line is somewhat redundant given the earlier note.

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

Completeness4/5

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

Given the tool's limited functionality (always returning a message), the description is mostly complete: it explains parameters, the return type, and the core behavior (no PDF download). It does not elaborate on error handling or side effects, but for a tool that always returns a fixed message, these are less critical. The presence of an output schema (not shown) may cover return structure.

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?

The input schema has 0% description coverage, so the description must compensate. It explains 'paper_id: dblp paper identifier' and 'save_path: Directory to save the PDF', which adds meaning beyond the schema. However, 'save_path' is misleading because the tool does not actually save a PDF, contradicting its own description. This inconsistency reduces the usefulness.

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 that the tool attempts to download a PDF from dblp but immediately clarifies that dblp does not provide direct PDF access, so it returns an informative message. This distinguishes it from siblings like download_arxiv that actually download PDFs. The purpose is specific: return a message indicating non-support.

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 does not provide explicit guidance on when to use this tool vs alternatives. It only notes the limitation with dblp but does not suggest using other tools (e.g., download_scihub) for actual PDF retrieval. There is no when-to-use or when-not-to-use advice.

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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