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Signal8 MCP Server

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Get Volume Profile

get_volume_profile
Read-only

Retrieve volume distribution across price levels for a trading day. Identify support and resistance by analyzing Point of Control and Value Area.

Instructions

Get volume distribution across price levels for a single trading day. Returns price buckets with volume, Point of Control (highest volume level), and Value Area (price range containing 70% of volume). Use for identifying support/resistance and high-volume price nodes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesTrading day (YYYY-MM-DD)
tickerYesStock ticker symbol (e.g., "AAPL", "TSLA")
bucketSizeNoPrice bucket width in dollars (default $1.00)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
Behavior3/5

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

Annotations already declare readOnlyHint=true, consistent with description. Description adds behavioral context about return values (Point of Control, Value Area) but no additional traits beyond what annotations provide.

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 sentences, no wasted words. Front-loaded with purpose and immediate use case. Excellent structure.

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?

Complete for a simple read-only tool with output schema and good annotations. No gaps.

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 description adds meaning by explaining output concepts (price buckets, Point of Control, Value Area) that are not in schema. This helps agent understand what the tool returns.

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 clearly states it gets volume distribution across price levels for a single trading day, specifying outputs like price buckets, Point of Control, and Value Area. This distinguishes it from sibling tools like get_historical_prices or get_intraday_bars.

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 states use case for identifying support/resistance and high-volume price nodes. Does not mention when not to use or alternatives, but provides clear context.

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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