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czwziy

scholar-toolkit-mcp

by czwziy

read_semantic_paper

Retrieve the full text of a Semantic Scholar paper by providing its ID (e.g., DOI, ARXIV). Downloads the PDF and returns extracted content.

Instructions

Read and extract text content from a Semantic Scholar paper.

Args: paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b") - DOI: (e.g., "DOI:10.18653/v1/N18-3011") - ARXIV: (e.g., "ARXIV:2106.15928") - MAG: (e.g., "MAG:112218234") - ACL: (e.g., "ACL:W12-3903") - PMID: (e.g., "PMID:19872477") - PMCID: (e.g., "PMCID:2323736") - URL: (e.g., "URL:https://arxiv.org/abs/2106.15928v1") 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?

With no annotations, the description should disclose side effects or behavioral traits. It mentions saving a PDF via the save_path parameter but does not clarify whether it downloads, caches, or modifies local files. The read operation's safety is implied but not explicit.

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 well-structured with Args and Returns sections, and the first sentence concisely states the purpose. Some verbosity in the paper_id format list is justified by complexity, but the overall length is acceptable.

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?

Given an output schema exists, the return description is adequate. However, the description does not explain failure modes (e.g., invalid paper_id, network issues) or the exact process (download vs. local read). The save_path parameter's role is ambiguous—whether it downloads or expects an existing file.

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?

Schema description coverage is 0%, so the description must compensate. The paper_id parameter is thoroughly explained with multiple example formats, adding significant value. The save_path parameter has a brief description with a default. However, the explanation is still incomplete (e.g., behavior when save_path doesn't exist).

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 the verb 'Read and extract' and the resource 'Semantic Scholar paper'. However, it does not differentiate this tool from many sibling read_* tools for other sources, missing an opportunity to clarify when to use this specific source.

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 given on when to use this tool versus alternatives like read_arxiv_paper or read_pubmed_paper. The description lacks any when-to-use or when-not-to-use context.

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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