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twolven

StockScreen MCP Server

by twolven

get_stock_news

Retrieve recent normalized news for a stock symbol to stay updated on market-moving events.

Instructions

Get normalized recent Yahoo Finance news.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesYahoo Finance ticker symbol
days_backNoMaximum news age in days

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
successYes
providerYes
warningsYes
timestampYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations are absent, so the description must carry the full burden of disclosing behavior. It only states that the output is normalized news and recent, which gives a minimal idea of the data nature but does not mention what exactly happens (e.g., returns a list, sorting, pagination, rate limits, or whether it is strictly read-only). This is adequate only at the most basic level.

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 a single, concise sentence with no redundant words or promotional fluff. It directly achieves its purpose and is perfectly sized for the tool's simplicity. Nothing extra needs to be removed or rewritten.

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?

The tool is simple, has only two parameters fully described in the schema, and has an output schema, so the description need not explain return values. The overall context is clear enough to call the tool correctly, though adding 'from a given Yahoo Finance symbol' would make it even more self-contained. Still, given the combined context, it is largely complete.

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?

The description does not add meaning beyond the input schema, but the schema itself has 100% description coverage for both parameters ('Yahoo Finance ticker symbol' and 'Maximum news age in days'), so the baseline of 3 is appropriate. The description word 'recent' does loosely reflect days_back, but no extra detail is provided.

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 states a specific action ('Get') and resource ('normalized recent Yahoo Finance news'), clearly indicating a news retrieval operation. It does not explicitly differentiate itself from sibling tools like run_stock_screen or get_screening_result, but the nature of these sibling tools is clearly distinct, so the purpose is unambiguous.

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?

There is no guidance on when to use this tool versus the sibling tools. The description does not mention typical use cases, alternatives, or any conditions that would steer the agent toward or away from this tool. The only contextual clue is the name and the schema, which is insufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.