Skip to main content
Glama

veroq_analysts

Retrieve Wall Street analyst ratings and price targets for stocks to assess consensus opinions and investment outlooks.

Instructions

Get Wall Street analyst ratings and price targets for a stock.

WHEN TO USE: To see consensus analyst opinion and price target range for a stock. RETURNS: Consensus rating, mean/high/low price targets, analyst count, and individual ratings with firm, target, and date. COST: 2 credits. EXAMPLE: { "ticker": "NVDA" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesTicker symbol (e.g. AAPL, NVDA, TSLA)
Behavior4/5

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

No annotations provided, but the description carries the burden well by disclosing COST ('2 credits') and detailing RETURNS ('Consensus rating, mean/high/low price targets...'). Missing only minor traits like rate limits or error conditions.

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?

Excellent structure with clear section headers (WHEN TO USE, RETURNS, COST, EXAMPLE). Information is front-loaded with the core purpose first. No wasted words; every sentence provides actionable metadata.

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 single-parameter tool, the description is comprehensive. It compensates for the missing output_schema with a detailed RETURNS section, includes cost information critical for credit-based APIs, and provides a concrete usage example.

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% with the ticker already well-documented ('Ticker symbol (e.g. AAPL, NVDA, TSLA)'). The description includes an EXAMPLE block, but this largely mirrors the schema's examples without adding significant semantic depth or format constraints beyond the 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 opens with a specific verb ('Get') and clear resource ('Wall Street analyst ratings and price targets'), precisely defining the tool's scope. It effectively distinguishes from siblings like veroq_technicals or veroq_earnings by specifying 'analyst' data.

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?

Contains an explicit 'WHEN TO USE' section stating the exact scenario ('To see consensus analyst opinion and price target range'). Lacks explicit 'when-not' guidance or named sibling alternatives (e.g., contrasting with veroq_research), preventing a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Veroq-ai/veroq-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server