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Nehra-Amaterasu

paper-search-mcp

read_base_paper

Extract text content from BASE academic papers by providing the paper ID and optional save path.

Instructions

Read and extract text content from a BASE paper.

Args: paper_id: BASE 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
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions reading and extracting text, but fails to clarify side effects (e.g., whether the PDF is downloaded, cached, or if network access is required), error handling, or what happens if the paper is not found. The description is insufficient for transparency.

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 concise, using a single paragraph with clearly structured Args and Returns sections. There is no extraneous information, and the key purpose is stated upfront. It could be slightly more streamlined, but is already very efficient.

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 description covers the basic purpose, parameters, and return type. However, it lacks important context such as whether the tool downloads papers, handles errors, or requires prerequisites. Given the simplicity of the tool (2 params, 1 required), the gaps are notable, earning a 3.

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?

Despite 0% schema description coverage, the description adds meaning to both parameters: 'paper_id' is described as 'BASE paper identifier' (though vague on format), and 'save_path' is explained as a directory with a default. This provides some guidance but not enough detail for the paper_id format, resulting in a baseline score of 3.

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 the tool's action ('Read and extract text content') and the resource ('a BASE paper'). The name 'read_base_paper' combined with the description effectively distinguishes this tool from numerous sibling read_* tools targeting other sources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives (e.g., download_base or other read_* tools). However, the tool name and resource mention 'BASE', which implies it is for BASE papers. The usage context is implied rather than stated, earning a score of 3.

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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