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Nehra-Amaterasu

paper-search-mcp

read_zenodo_paper

Retrieve and extract the full text of a Zenodo paper using its unique identifier. Optionally specify a local directory to save the PDF.

Instructions

Read and extract text content from a Zenodo paper.

Args: paper_id: Zenodo paper identifier. save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: Extracted text content.

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?

No annotations are present, so the description carries the burden. It explains that the tool reads and extracts text, and lists parameters, but does not disclose potential rate limits, authentication needs, or error handling behavior. For a read-only tool, this is minimally adequate 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.

Conciseness5/5

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

The description is extremely concise, with a clear one-line summary and a structured Args section. Every sentence is necessary and there is no wasted text.

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

Completeness3/5

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

The tool is straightforward and the description covers the main behavior and parameters. However, it does not mention what happens if the paper is not found, what format the text is returned in, or any prerequisite like internet access. This leaves gaps for an agent.

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

Parameters4/5

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 provides clear semantics for both parameters: paper_id is a 'Zenodo paper identifier' and save_path is 'directory where the PDF is/will be saved'. This adds significant meaning beyond the bare schema.

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

Purpose5/5

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

The description clearly states it reads and extracts text from a Zenodo paper. The verb 'Read' and resource 'Zenodo paper' are specific, and the tool is well-distinguished from siblings like download_zenodo and other read_* 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.

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. Among siblings there are many read_* tools for various sources, and download_zenodo for downloading, but no usage context or exclusions are given.

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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