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get_market_events

Read-onlyIdempotent

Get recent market/company news headlines from XFINLAB's aggregated real-time news feed (RSS-sourced, deduplicated). Optionally filter by ticker/company name. Returns title, source, kind, published_at, url for each item -- no article body text.

Input Schema

NameRequiredDescriptionDefault
limitNoMax results, 1-100.
tickerNoOptional ticker or company name to filter by, e.g. 'NVDA'.
api_keyNoXFINLAB Intelligence API key (X-API-Key). Omit if supplied via HTTP header instead.
marketplace_license_keyNoOptional: an mcp-marketplace.io license key for this listing's paid tier. If valid, upgrades a free XFINLAB API key's daily quota to Pro for this call. Omit if supplied via the X-Marketplace-License-Key header instead, or if not using a marketplace license.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / marketplace_license_key
      Added value: +{
      +  "description": "Optional: an mcp-marketplace.io license key for this listing's paid tier. If valid, upgrades a free XFINLAB API key's daily quota to Pro for this call. Omit if supplied via the X-Marketplace-License-Key header instead, or if not using a marketplace license.",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that: the feed is RSS-sourced and deduplicated, and critically it returns 'no article body text', which sets expectations about result depth. It still says nothing about rate limits, quota behavior, or what 'recent' means.

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?

Three tight sentences: purpose/source first, optional filter second, return shape third. Every sentence carries information and the most decision-relevant content is front-loaded.

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 compensates by listing the returned fields (title, source, kind, published_at, url) and explicitly excluding body text. The main remaining gap is that 'recent' is undefined and there is no mention of pagination or date-range behavior, though limit is covered in the schema.

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 the schema already documents all four parameters including api_key and marketplace_license_key. The description only restates the ticker filter and omits the limit/license parameters entirely, adding no syntax or format detail beyond the schema. Baseline 3 applies.

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 and resource ('Get recent market/company news headlines') and characterizes the source as XFINLAB's aggregated real-time news feed, RSS-sourced and deduplicated. It is clear on its own, but does not explicitly differentiate from the overlapping sibling get_intelligence_feed, leaving the agent to infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions the optional ticker filter, which implies a filtered-lookup use case, but gives no explicit when-to-use, when-not-to-use, or routing guidance versus get_intelligence_feed or get_sentiment. Usage is inferable but not stated.

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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