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Signal8 MCP Server

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Get Market Breadth

get_market_breadth
Read-only

Retrieve market breadth aggregates (advance/decline, percent above 50DMA/200DMA, 52-week highs/lows) for SP500, NDX, or all stocks. Use to add market-state context to commentary.

Instructions

Get market breadth aggregates (advance/decline counts and ratio, percent of constituents above their 50DMA and 200DMA, and counts of new 52-week highs/lows) for a chosen universe (sp500, ndx, or all). Use to add market-state context to commentary, tweets, or daily summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
universeNoUniverse to aggregate over: sp500, ndx, or all (default sp500)sp500

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so read-only nature is known. The description adds detail on output metrics but no additional behavioral traits beyond what annotations imply.

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?

Extremely concise: two sentences front-load the purpose and use case with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool is simple (one optional parameter with enum) and the description fully explains output and usage. Output schema exists, so return value details are covered.

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 coverage is 100%; the description merely reiterates the universe parameter without adding new meaning beyond the schema's enum values and default.

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?

The description clearly identifies the verb 'Get' and resource 'market breadth aggregates', listing specific metrics. However, it does not explicitly differentiate from sibling tools like get_market_metrics, so it lacks sibling distinction.

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 provides clear usage context: 'add market-state context to commentary, tweets, or daily summaries.' It does not, however, state when not to use or name alternatives.

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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