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get_market_context

Retrieve a comprehensive market snapshot including indices, sector heatmap, top movers, and upcoming economic events for quick market overview.

Instructions

Get a one-call market snapshot across indices, sectors, movers, and events.

Useful for quick "what's happening in the market?" checks. Fetches major index moves, sector heatmap, top gainers/losers, most active names, and upcoming high-impact economic events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format: - "summary": Curated top items (top 5 movers/events) - "full": Same normalized fields with no item limitssummary
includeNoOptional section filter as JSON array or comma-separated string. Available sections: - "indices": S&P 500, Dow Jones, Nasdaq, Russell 2000 - "sectors": Sector performance heatmap - "gainers": Top daily gainers - "losers": Top daily losers - "actives": Most active by volume - "events": Upcoming high-impact economic events Default: all sections.
use_cacheNoUse cached data when available (default: True).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It discloses what data is fetched (indices, sectors, movers, events) and parameter effects (format limits, section filtering, caching). Lacks details on data staleness or error handling.

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?

Two short, front-loaded paragraphs. First sentence conveys purpose; second paragraph adds operational detail. Every sentence adds value without redundancy.

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 3 optional parameters, no required inputs, and presence of output schema, the description sufficiently covers tool purpose and parameter usage. Minor gap: no mention of performance or data currency.

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 description coverage is 100%, so baseline is 3. Description reaffirms parameter effects already in schema (e.g., format controls item limits, include selects sections), adding minimal extra meaning.

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?

Description states 'Get a one-call market snapshot across indices, sectors, movers, and events', clearly specifying the verb, resource, and scope. It distinguishes from siblings (e.g., get_news, get_sector_overview) by offering a comprehensive overview.

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 says 'Useful for quick "what's happening in the market?" checks', indicating when to use the tool. However, it does not mention when not to use or provide explicit alternatives among siblings.

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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