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signal8ai

Signal8 MCP Server

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Get Price Target

get_price_target
Read-only

Retrieve analyst price target data for a stock ticker. Returns the consensus split-adjusted average price target or a list of individual analyst targets.

Instructions

Get analyst price target data for a ticker. By default returns the consensus / split-adjusted average price target. Set list=true to return the full per-analyst list of individual price targets instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
listNofalse/omitted = consensus price target; true = per-analyst price-target list
limitNoMaximum results when list=true (default: 50, max: 100). Ignored for consensus.
tickerYesStock ticker symbol (e.g., "AAPL", "TSLA")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

The description complements the readOnlyHint annotation by detailing the output: consensus or per-analyst list, split-adjusted data, and behavior of the 'list' and 'limit' parameters. No contradictions with 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?

Two concise sentences that front-load the purpose and immediately explain the key behavioral toggle. No extraneous 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?

For a tool with three parameters and an output schema, the description covers all necessary aspects: purpose, default vs alternative mode, parameter roles, and edge cases (limit ignored for consensus). Fully adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All parameters have schema descriptions, and the description adds meaningful context: explains 'list' mode distinction, default limit for list, and that 'limit' is ignored for consensus. Goes beyond the schema alone.

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 the tool retrieves analyst price target data for a given ticker, specifying it returns consensus or a per-analyst list. This distinguishes it from sibling tools that handle other analyst data (e.g., earnings, estimates, grades).

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 explains the default behavior (consensus) and how to get individual targets via 'list=true'. It provides clear parameter guidance but does not explicitly mention when not to use this tool or suggest 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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