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netanelavr

Trading MCP Server

by netanelavr

discover_trending_stocks

Identifies stocks with surging social media attention on Reddit to help detect emerging investment opportunities and viral stock movements before they peak.

Instructions

Social momentum detection tool that identifies stocks gaining significant attention and discussion volume across Reddit investing communities. Use this when looking for emerging investment opportunities, detecting viral stock movements, or identifying potential meme stock candidates before they peak. The tool returns ranked lists of trending tickers with mention frequency, sentiment indicators, and community engagement metrics. Perfect for staying ahead of retail investor trends and social media-driven market movements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subredditsNoSubreddits to analyze for trending tickers
limitNoMaximum number of trending tickers to return
Behavior3/5

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

With no annotations, description discloses output format (ranked lists, metrics) but lacks details on data freshness, limitations, or potential biases. Adequate but not exhaustive.

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?

Four sentences, front-loaded with purpose, no fluff. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, description explains return values (ranked lists, sentiment, engagement metrics). Covers purpose, usage, and basic parameters completely for its simplicity.

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 coverage is 100%, description adds context like 'Reddit investing communities' for subreddits and 'trending tickers' for limit, but does not significantly extend beyond schema.

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 identifies the tool as a social momentum detection for Reddit stocks, with specific verbs like 'identifies', 'detecting', and distinguishes from siblings by focusing on trending/meme stocks.

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?

Explicitly states when to use: looking for emerging opportunities, viral movements, meme stock candidates. Does not mention alternatives or when not to use, but context of siblings provides some guidance.

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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