Huggingface Daily Papers
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_papers_by_dateB | Get HuggingFace daily papers for a specific date |
| get_today_papersB | Get today's HuggingFace daily papers |
| get_yesterday_papersB | Get yesterday's HuggingFace daily papers |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Today's Papers | HuggingFace daily papers for today |
| Yesterday's Papers | HuggingFace daily papers for yesterday |
TDQS
Scored across 3 tools
The tools have overlapping purposes with unclear boundaries: get_papers_by_date can retrieve papers for any date, including today and yesterday, making get_today_papers and get_yesterday_papers redundant special cases. This overlap creates ambiguity about which tool to use for date-specific queries, as the descriptions don't clarify when to prefer one over another.
All tool names follow a consistent verb_noun pattern with clear, descriptive naming: get_papers_by_date, get_today_papers, and get_yesterday_papers. The naming convention is uniform throughout, using snake_case and starting with 'get_' followed by the target, making it predictable and readable.
With only 3 tools, the set feels thin and under-scoped for a server named 'Huggingface Daily Papers,' which suggests a broader domain of paper retrieval or analysis. The tools are limited to basic date-based fetching without operations like search, filtering, or metadata access, making the count too low for effective agent use in this context.
There are significant gaps in the tool surface for the implied domain of accessing HuggingFace papers. Missing operations include searching papers by keyword, filtering by categories or authors, retrieving paper details or abstracts, and accessing trends or summaries. This incompleteness will likely cause agent failures when trying to perform common paper-related tasks beyond simple date retrieval.