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get_stock_quote

Get real-time verified stock price, 52-week range, PE ratio, volume, and market cap for any ticker symbol (Price: $0.01 USDC via x402 pay-per-call on Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock ticker symbol (e.g. NVDA, AAPL, TSLA, PLTR, MSFT, BTC)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / symbol / description
      Previous value: -"Stock ticker symbol (e.g. AAPL, NVDA, TSLA, MSFT, BTC)"New value: +"Stock ticker symbol (e.g. NVDA, AAPL, TSLA, PLTR, MSFT, BTC)"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided so the description carries the full burden. It discloses real-time data freshness and the payment mechanism (x402 pay-per-call, $0.01 USDC on Base), which is genuinely useful behavioral context. However it doesn't state rate limits, error behavior for invalid tickers, or the response shape, leaving meaningful gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, no filler, with the pricing detail parenthetically isolated at the end so the core purpose is front-loaded. Slightly dense due to packing data fields and payment metadata together.

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

Completeness3/5

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

For a one-parameter read-only tool with no output schema and no annotations, the description covers the fields returned and the payment model, which is decent, but leaves unclear whether the pay-per-call is automatic, blocking, or requires setup, and provides no guidance relative to its many siblings.

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 description coverage is 100% with examples (NVDA, AAPL, TSLA, BTC), so the schema already documents the parameter fully. The description adds no format, casing, or validation constraints beyond that. Baseline 3 applies.

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?

States a specific verb ('Get') and resource ('real-time verified stock price, 52-week range, PE ratio, volume, market cap for any ticker symbol') and is distinguishable from siblings like analyze_stock_ai or get_top_trade_ideas that perform analysis rather than raw quote retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The scope says 'for any ticker symbol,' which implies usage, but it never states when to use this over analyze_stock_ai or get_top_trade_ideas, nor when it would be inappropriate. Usage must be inferred.

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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