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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
hf_papers_searchA

Search Hugging Face papers by keyword. Use to find research relevant to current engine work.

hf_papers_dailyA

Fetch daily curated papers from Hugging Face. Check what is trending in AI research.

hf_papers_infoA

Get full metadata for a paper from Hugging Face — title, authors, abstract, URLs.

hf_papers_citationA

Generate a citation for a paper. Returns raw text in BibTeX, APA, or MLA format as { result: "..." }.

hf_papers_checkC

Check if a paper is indexed on Hugging Face and get its metadata.

hf_papers_indexB

Trigger indexing of a paper on Hugging Face from arXiv.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation4/5

Tools are mostly distinct: daily, search, citation, and index each target different actions. However, hf_papers_info and hf_papers_check both return metadata, which could cause an agent to select the wrong one.

Naming Consistency4/5

All tools share the consistent hf_papers_ prefix, but the suffixes mix parts of speech (daily is an adjective, info and citation are nouns, while search, check, and index are verbs). The naming is readable and predictable, but not perfectly uniform verb_noun.

Tool Count5/5

With 6 tools covering discovery, search, metadata, citation, verification, and indexing, the count is well-scoped for a Hugging Face papers server. No redundant or missing tools at this granularity.

Completeness5/5

The tool surface covers the key research workflow: discovering papers (daily), searching (search), retrieving details (info), citing (citation), checking availability (check), and adding new papers (index). No obvious dead ends or missing core operations.

Maintenance

ActivitySlowing
ResponsivenessNo issues