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salwks

mcp-techTrend

paperswithcode_trending

Read-only

Fetch and filter daily curated AI papers from Hugging Face. Use query, days, and sort options to find relevant research.

Instructions

Daily curated AI papers feed (now backed by Hugging Face's daily_papers — Papers with Code API was sunset after the 2024 HF acquisition). Empty query returns the newest curated papers. Search is client-side filtering over the daily-papers stream.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
daysNo
sort_byNoupvotes
max_resultsNo
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations indicate read-only behavior; description adds valuable context about client-side filtering over a daily stream and the backend change from Papers with Code to Hugging Face. No contradictions.

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?

Two concise sentences convey purpose, data source change, search behavior, and key usage hint. No fluff or repetition.

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?

The description covers purpose and behavior but lacks parameter documentation. Output schema exists, so return format is covered, but parameter semantics are incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only mentions the query parameter in passing. It does not explain days, sort_by, max_results, or response_format, which are necessary for proper use.

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 tool provides a daily curated AI papers feed, identifying the resource and action. It distinguishes from sibling trending tools by mentioning the Hugging Face backend and client-side filtering.

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

Usage Guidelines3/5

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

The description implies usage by stating empty query returns newest papers and search is client-side, but does not explicitly specify when to use this tool versus alternatives or when not to use it.

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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