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get_stock_catalyst

Read-onlyIdempotent

TipRanks-generated catalyst summary explaining why a stock is moving.

Each entry: {ticker, summary, sentiment, updated} where sentiment is
'positive' | 'neutral' | 'negative'. Updated throughout the trading
day. Use to explain today's move for a specific stock.

Args:
    tickers: Comma-separated tickers (e.g. 'AMZN' or 'AMZN,NVDA').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickersYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "result": {
      -      "title": "Result",
      -      "type": "string"
      -    }
      -  },
      -  "required": [
      -    "result"
      -  ],
      -  "title": "get_stock_catalystOutput",
      -  "type": "object"
      -}New value: +null
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about the data being TipRanks-generated and updated throughout the trading day, which gives freshness information beyond the annotations. It doesn't discuss side effects or auth, but with annotations present, this is sufficient for a 4.

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 compact and front-loaded: it opens with the core purpose, then explains output format, update frequency, and usage context, followed by a short Args section. Every sentence contributes value, with no redundancy or filler.

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

Completeness5/5

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

Despite having no output schema, the description explicitly states the return structure ('Each entry: {ticker, summary, sentiment, updated}') and explains the parameter thoroughly. With only one parameter and annotations covering safety, the description is sufficiently complete for effective tool selection and invocation.

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

Parameters4/5

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

The schema provides only the parameter name 'tickers' with a union type (string or array) and no description. The description compensates by showing the comma-separated string format with examples ('AMZN' or 'AMZN,NVDA'), adding syntax and usage semantics. However, it omits the array input option, leaving a small gap in completeness.

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 'TipRanks-generated catalyst summary explaining why a stock is moving' and explicitly says 'Use to explain today's move for a specific stock,' which identifies the specific resource and action. This differentiates it from sibling tools like get_ai_stock_analysis or get_stock_quotes, as it focuses on catalyst summaries.

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 provides clear usage context with 'Use to explain today's move for a specific stock,' but does not mention when to avoid this tool or compare it to alternatives like get_ai_stock_analysis. This meets the 'clear context, no exclusions' level, so a 4 is appropriate.

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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