paperpal
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 |
|---|---|
| semantic_search_papers_on_huggingfaceB | Search for papers on HuggingFace using semantic search. |
| fetch_paper_details_from_arxivB | Get the Arxiv info for a list of papers. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one fetches details for specific Arxiv papers by ID, while the other performs semantic searches on HuggingFace. There is no overlap in functionality or ambiguity between them.
Both tools follow a consistent snake_case naming pattern with descriptive verb_noun structures (fetch_paper_details_from_arxiv and semantic_search_papers_on_huggingface). The naming is predictable and readable throughout.
With only two tools, the server feels under-scoped for a paper-related domain. It lacks basic operations like listing papers, filtering, or managing collections, which limits its utility for comprehensive paper handling tasks.
The toolset is severely incomplete for paper management. It covers fetching details and searching, but misses essential CRUD operations (e.g., saving, organizing, or annotating papers) and lacks integration between the two sources, leaving significant gaps in workflow coverage.