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xerktech

mcp-financex

by xerktech
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

get_extended_hours_data

Retrieve real-time pre-market and after-hours stock data to monitor early or late trading activity, including price, change, and volume for individual symbols or multiple symbols at once.

Instructions

Pre-Market & After-Hours Trading | Extended Session Data | Early/Late Trading Activity - Get real-time pre-market and after-hours trading data for stocks. Extended hours trading occurs before and after regular market hours, allowing traders to react to news and events.

Trading Sessions:

  • Pre-Market: 4:00 AM - 9:30 AM ET (before regular hours)

  • Regular Hours: 9:30 AM - 4:00 PM ET (standard trading)

  • After-Hours: 4:00 PM - 8:00 PM ET (after regular hours)

Data Provided:

  • Pre-market price, change, volume

  • After-hours price, change, volume

  • Regular market data (for comparison)

  • Current active session indicator

  • Most recent price across all sessions

Use Cases:

  • "Show me Apple's pre-market price"

  • "What's Tesla trading at after-hours?"

  • "Get extended hours data for NVDA"

  • "Is there pre-market activity on AAPL?"

  • "Compare regular vs after-hours price for MSFT"

Why It Matters: Extended hours trading reveals early market reactions to:

  • Earnings announcements (typically after-hours or pre-market)

  • Breaking news and geopolitical events

  • Analyst upgrades/downgrades

  • Economic data releases

Important Notes:

  • Extended hours have lower liquidity (wider spreads)

  • Prices can be more volatile

  • Not all stocks are actively traded in extended hours

Returns: Pre-market and after-hours prices, changes, current session, and comparison with regular hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoStock ticker symbol to get extended hours data for (e.g., "AAPL", "TSLA"). Extended hours data is typically only available for US stocks.
symbolsNoOptional: Array of symbols to get extended hours data for multiple stocks at once. If provided, this takes precedence over the single symbol parameter.

Tool Definition Quality

A4.2/5.0
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses the data provided, trading sessions, and important notes about liquidity and volatility. It does not mention authentication or update frequency, but covers core behavioral aspects.

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

Conciseness3/5

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

The description is well-structured with sections but is somewhat verbose, including educational content ('Why It Matters'). It could be more concise while retaining clarity.

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, the description explains return data (price, change, volume, session indicator). Parameter coverage is complete, and the description adds context about sessions and use cases. Almost complete for agent usage.

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 100%, but the description adds context beyond schema: symbol description notes US stocks only, symbols parameter precedence. This adds meaningful guidance for the agent.

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 provides real-time pre-market and after-hours trading data for stocks. It distinguishes from siblings by focusing specifically on extended hours, and includes explicit examples and data scope.

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 includes use cases and important notes about when to use the tool (e.g., for early/late trading reactions) and limitations (lower liquidity, volatility). It does not mention alternatives among sibling tools, but the context makes the purpose clear.

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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