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Glama
Liyux3

scholar-mcp

Download a paper PDF

download_paper
Idempotent

Resolve any paper ID to an open-access PDF, save it to disk, and optionally add it to a library collection.

Instructions

Resolve one paper to an open-access PDF and save it to disk, optionally indexing it into a library collection.

Writes a file under save_dir (default: the configured papers directory); a repeat call for the same paper overwrites the same path. Use read_paper instead when you only need the text once. Resolution tries the canonical archive (arXiv, Europe PMC), repository resolvers, preprint servers and Unpaywall in order; a paywalled paper with no open copy returns a clear failure and writes nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paper_idYesPaper identifier (S2 ID, DOI, ArXiv:ID, etc.)
save_dirNoDirectory to save PDF (default: configured download directory)
collectionNoKnowledge-base collection to index the PDF in. Empty disables indexing.downloads

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.8.3

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate idempotent, non-destructive write behavior, and the description adds valuable details beyond them: repeat calls overwrite the same path, resolution tries specific sources in order, and a failed resolution writes nothing. There is no contradiction with the annotations.

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 compact and front-loads the primary purpose, then adds necessary behavioral and alternative-tool context. Every sentence contributes useful information without filler or redundancy.

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

Completeness5/5

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

The description covers the key operational details: resolution order, file persistence and overwrite semantics, indexing option, failure behavior, and the alternative read_paper. With the output schema and annotations also present, an agent has enough context to invoke the tool correctly.

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 100%, so the schema already documents all three parameters. The description mostly restates defaults and indexing behavior rather than adding new parameter-level meaning, so the baseline score of 3 is appropriate.

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 uses a specific verb and resource: resolving one paper to an open-access PDF and saving it to disk. It also distinguishes itself from read_paper by noting the alternative is for text-only needs, making the tool's purpose and scope clear.

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

Usage Guidelines5/5

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

The description explicitly names read_paper as the alternative and states the condition for choosing it: when only the text is needed once. It also clarifies that paywalled papers with no open copy fail cleanly, helping an agent decide when this tool is appropriate.

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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