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Talljack

MCP Server Trending

by Talljack

get_trending_summary

Retrieve a daily digest of trending topics from top platforms like GitHub, Hacker News, and Product Hunt. Provides a comprehensive overview of what's popular today across multiple sources.

Instructions

Get today's trending summary across all platforms. Provides a comprehensive overview of what's hot on GitHub, Hacker News, Product Hunt, dev.to, HuggingFace, and more. Use this when user asks 'what's trending today?' or wants a daily digest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformsNoOptional list of platforms to include. Available: 'github', 'hackernews', 'producthunt', 'devto', 'lobsters', 'huggingface', 'paperswithcode', 'betalist', 'indiehackers', 'v2ex', 'juejin'. Leave empty for all.
items_per_platformNoNumber of top items to show per platform.
use_cacheNoWhether to use cached data.
Behavior2/5

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

No annotations are provided, so the description bears full burden. It states it provides a 'comprehensive overview' and defaults to caching, but does not disclose behavioral traits like rate limits, data freshness, response format, or any constraints beyond the schema.

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 plus a usage note. Information is front-loaded with the core purpose, followed by a specific use case. No wasted words.

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 3 parameters, but it lacks details about return value format, pagination, or error handling. Given no output schema, the agent is left wondering what the output looks like.

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

Parameters3/5

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

Schema description coverage is 100% (all 3 parameters described). The description adds no new parameter semantics beyond listing platform names, which are already in the schema. Baseline score of 3 is appropriate when schema carries the load.

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 the tool 'gets today's trending summary across all platforms' and lists specific platforms like GitHub, Hacker News, etc. This is a specific verb+resource that distinguishes it from sibling tools that target individual platforms.

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

Usage Guidelines4/5

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

The description explicitly says 'Use this when user asks "what's trending today?" or wants a daily digest.' This provides clear context for when to use the tool, implicitly differentiating from single-platform siblings, though it does not include when-not-to-use or alternatives.

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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