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Alpha Vantage MCP Server

Alpha Vantage MCP Server

by calvernaz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

stochf

Calculate the stochastic oscillator fast indicator to identify overbought or oversold conditions in stock prices using Alpha Vantage market data.

Instructions

Fetch stochastic oscillator fast

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "symbol": "<symbol>",
      "interval": "<interval>"
    },
    "name": "stochf"
  }
}

Input Schema

NameRequiredDescriptionDefault
symbolYes
intervalYes
monthNo
fastkperiodNo
fastdperiodNo
fastdmatypeNo
datatypeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but only states the action without details on rate limits, data sources, error handling, or output format. It fails to add meaningful context beyond the basic purpose, leaving significant gaps in understanding how the tool behaves.

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?

The description is extremely concise with a single phrase 'Fetch stochastic oscillator fast', which is front-loaded and wastes no words. It efficiently communicates the core purpose without unnecessary elaboration, earning full marks for brevity and clarity in structure.

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

Completeness2/5

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

Given the complexity of 7 parameters, no annotations, no output schema, and 0% schema coverage, the description is incomplete. It doesn't address parameter meanings, behavioral traits, or output details, making it inadequate for an AI agent to effectively use this tool without additional context.

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

Parameters2/5

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

The input schema has 7 parameters with 0% description coverage, and the tool description provides no information about any parameters. It doesn't explain what 'symbol', 'interval', or other fields mean, their expected formats, or default values, failing to compensate for the schema's lack of documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Fetch stochastic oscillator fast' clearly states the action (fetch) and the financial indicator (stochastic oscillator fast), which is specific. However, it doesn't differentiate from sibling tools like 'stoch' or 'stochrsi', leaving ambiguity about what makes this 'fast' version distinct, which prevents a higher score.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'stoch' or 'stochrsi' from the sibling list. The description lacks context about use cases, prerequisites, or exclusions, offering minimal help for an AI agent to make informed decisions.

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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