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yfinance-ai MCP server

yfinance-ai MCP server

by lkcair

download_multiple_tickers

Read-onlyIdempotent

Fetch historical Yahoo Finance data for multiple ticker symbols in one request, with period and interval options, and get a combined download summary.

Instructions

Download historical data for multiple tickers at once (bulk operation).

Args: tickers: Space or comma-separated ticker symbols (e.g., 'AAPL MSFT GOOGL') period: Time period (default: 1mo) interval: Data interval (default: 1d)

Returns: Summary of downloaded data for all tickers

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": {
      "tickers": "<tickers>"
    },
    "name": "download_multiple_tickers"
  }
}

Input Schema

NameRequiredDescriptionDefault
periodNo1mo
tickersYes
intervalNo1d

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, covering the safety profile. The description adds nothing behavioral beyond that — no note on rate limits, large-batch behavior, partial failures, or what the 'Summary' return actually contains. It essentially restates the arguments.

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?

Front-loaded one-line purpose followed by a compact Args/Returns block. Efficient, though the param lines largely echo the schema and could have carried valid-value information instead.

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?

An output schema exists, so the 'Returns' note is a convenience rather than a necessity. The description is adequate for a simple read tool, but missing accepted values for period/interval means an agent could pass unsupported strings without warning.

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 0%, so the description must compensate. It usefully documents the tickers format ('space or comma-separated') that the schema omits, but period and interval only repeat their defaults without listing accepted values (e.g., valid period/interval strings), leaving a correctness-relevant gap.

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

Purpose4/5

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

States a specific verb and resource ('Download historical data') plus an explicit scope qualifier ('multiple tickers at once (bulk operation)'). This implicitly separates it from the sibling get_historical_data, but it never names that sibling, so the differentiation is inferential rather than stated.

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 phrase 'bulk operation' implies the tool is for multi-symbol requests, but there is no explicit when-to-use/when-not guidance and the single-ticker alternative (get_historical_data) is never referenced. Usage is implied rather than prescribed.

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