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get_stock_catalyst

Read-onlyIdempotent

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

Each entry: {ticker, price_move, summary, sentiment, updated} where
sentiment is 'positive' | 'neutral' | 'negative' and price_move, present
once today's session has traded, is the stock's actual change today from
the live quote. Use to explain today's move for a specific stock.

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

Input 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

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior: the data source (TipRanks), the exact entry shape, and the conditional presence of price_move once today's session has traded — a real precondition an agent needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, then the return shape, then usage, then args — a sensible ordering with no filler sentences. The inline field enumeration is dense but every element carries information.

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?

With no output schema, the description carries the burden of describing returns and does so field-by-field, including the sentiment enum and the conditional price_move. Only minor gaps remain, such as multi-ticker output ordering or whether entries can be missing for tickers with no catalyst.

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?

Schema coverage is 0% and the schema itself only says 'string or array of strings' with no explanation, so the description must compensate — and it does, documenting comma-separated semantics with concrete examples ('AMZN' or 'AMZN,NVDA'). It does not cover format edge cases (spaces, lowercase) but resolves the core ambiguity.

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?

States a specific verb+resource: a 'TipRanks-generated catalyst summary explaining why a stock is moving,' which is clearly a per-ticker move-explanation tool. It does not explicitly differentiate itself from near-siblings like get_ai_stock_analysis or get_latest_news, so an agent must infer the boundary.

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?

'Use to explain today's move for a specific stock' gives a clear, actionable context for invocation, reinforced by the caveat that price_move appears only after the session has traded. It offers no explicit exclusions or named alternatives for cases where a broader news/analysis tool would be better.

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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