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Nehra-Amaterasu

paper-search-mcp

read_arxiv_paper

Read the text content of an arXiv paper by providing its paper ID.

Instructions

Read and extract text content from an arXiv paper PDF.

Args: paper_id: arXiv paper ID (e.g., '2106.12345'). save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idYes
save_pathNo./downloads

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description should disclose behavior. It mentions text extraction but omits potential issues like PDF parsing failures, rate limits, or that it may download the PDF (implied by save_path). Unclear if it reads an existing file or always downloads. Insufficient for an agent to anticipate side effects.

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?

Extremely concise: one sentence for purpose, then straightforward Args/Returns sections. No unnecessary words. Front-loaded with the core action. Every sentence provides value.

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 simplicity (2 params, clear purpose) and existence of an output schema (return type stated), the description is mostly complete. However, it lacks error handling context and does not explicitly state whether the PDF is downloaded or assumed present. Still, it covers the main functionality well.

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 coverage is 0%, so description adds crucial meaning: paper_id is explained with an example ('2106.12345'), and save_path is described as a directory for saving/reading PDFs with default './downloads'. This goes beyond the bare schema and helps the agent understand parameter usage.

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 an arXiv paper PDF, using a specific verb ('read') and resource ('arXiv paper PDF'). It distinguishes itself from sibling 'read_*' tools by specifying the source (arXiv) and from 'download_arxiv' and 'search_arxiv' by focusing on text extraction. This provides unambiguous purpose.

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 on when to use this tool vs other 'read_*' tools (e.g., for different sources) or vs download/search tools. No mention of prerequisites like internet access or paper existence. Lacks context for tool selection among many siblings.

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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