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Signal8 MCP Server

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Get ETF Bundle

get_etf_bundle
Read-only

Aggregate ETF data from multiple sources in one call. Get profile, holdings, sector weightings, and more for any ticker.

Instructions

Get aggregated ETF data in a single call. Combines multiple data sources (profile, holdings, sector weightings, country exposure, performance, news, analyst coverage, and comparables) into one response. Each data type is cached independently. Specify which types to include or omit to get above-the-fold defaults (profile, stock-summary, holdings, sectors).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesETF ticker symbol (e.g., SPY, QQQ, IWM)
includeNoComma-separated list of data types to include. Available: profile,holdings,sectors,countries,stock-summary,performance,news,analyst,comparables. Default (when omitted): profile,stock-summary,holdings,sectors

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true. Description adds independent caching per data type and the bundling behavior, providing useful context beyond annotations.

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?

Four sentences, each with a purpose: purpose, data sources, caching, usage guidance. No redundancy, well organized.

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?

Output schema exists, so return values are documented. Description covers data types, caching, and usage. Lacks mention of prerequisites or rate limits, but sufficient for a read-only bundle tool.

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 covers both parameters with descriptions (100% coverage). The description adds context about include defaults and comma-separated format, but doesn't add entirely new meaning beyond schema.

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 it aggregates multiple ETF data sources into one call, explicitly listing the types (profile, holdings, etc.) and distinguishing it from individual siblings like get_company_profile.

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?

Describes when to use (for aggregated data) and how to customize with include/omit, but does not explicitly state when not to use or mention alternatives like individual getters.

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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