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Talljack

MCP Server Trending

by Talljack

get_paperswithcode_latest

Retrieve recently published machine learning research papers with code implementations. Fetch a specified number of papers, optionally using cached data.

Instructions

Get latest ML/AI research papers. Most recently published papers with code implementations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of papers to fetch.
use_cacheNoWhether to use cached data.
Behavior2/5

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

Without annotations, the description should reveal behavioral traits like caching, rate limits, or pagination. It only states 'most recently published,' offering no insights beyond the basic action.

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 concise with two sentences, no unnecessary words, and the key information is front-loaded.

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 is adequate for a simple list tool with well-documented parameters, but it lacks context about output format, sorting, or caching behavior. For a tool with siblings, it should specify that it returns only the latest papers.

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?

Although schema coverage is 100%, the description does not add any meaning beyond the schema. It fails to explain the role of 'limit' or 'use_cache' parameters.

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 clearly states 'Get latest ML/AI research papers' with the specific focus on 'most recently published papers with code implementations.' It clearly distinguishes from siblings like get_paperswithcode_trending and search_paperswithcode.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description does not specify that for trending papers or search, other tools should be used.

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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