MCP server for Alpha Vantage financial data API
18 tools with basic verb-noun naming (get_*, all READ_ONLY). Descriptions present but generic and under-optimized for LLM selection. Input schemas visible with types and descriptions, but many parameters lack enums/constraints. No output schemas documented. Error handling mentions 'raises ValueError' but provides no recovery guidance. Missing parameter relationships, format constraints, and actionable error messages. Composition is sound (single responsibility per tool), but descriptions do not explain WHEN to use each tool vs. similar ones (e.g., get_daily vs get_daily_adjusted).
Returns the annual and quarterly balance sheets for the company of interest. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Returns the annual and quarterly balance sheets for the company of interest. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Returns the annual and quarterly cash flows for the company of interest. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Returns the company information, financial ratios, and other key metrics for the equity specified. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Return daily time series in two json objects as data and meta_data. It raises ValueError when problems arise
No output schemas documented. LLMs cannot plan downstream operations or extract required fields. All 18 tools lack return type documentation.
Descriptions lack WHEN/WHY context. 'Return daily time series' does not explain when to use get_daily vs get_daily_adjusted. LLMs cannot disambiguate similar tools.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | C | 62 | 2026-07-28+ | v2 |
Return daily adjusted (date, daily open, daily high, daily low, daily close, daily split/dividend-adjusted close, daily volume) time series in two json objects as data and meta_data. It raises ValueError when problems arise
Returns historical and future (declared) dividend distributions.
Returns the annual and quarterly income statements for the company of interest. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Returns the annual and quarterly income statements for the company of interest. Data is generally refreshed on the same day a company reports its latest earnings and financials.
Return intraday time series in two json objects as data and meta_data. It raises ValueError when problems arise
Return current market status (open vs. closed) of major trading venues. It raises ValueError when problems arise
Return monthly time series in two json objects as data and meta_data. It raises ValueError when problems arise
Return monthly time series in two json objects as data and meta_data. It raises ValueError when problems arise
Return the latest price and volume information for a security of your choice
Returns historical split events.
Return best matching symbols and market information based on keywords. It raises ValueError when problems arise
Return weekly time series in two json objects as data and meta_data. It raises ValueError when problems arise
weekly adjusted time series (last trading day of each week, weekly open, weekly high, weekly low, weekly close, weekly adjusted close, weekly volume, weekly dividend) of the equity specified, covering up to 20 years of historical data.
Parameters lack enums and format constraints. 'interval' accepts '1min', '5min', etc., but no enum declared. 'outputsize' accepts 'compact' or 'full' but no enum. LLMs will hallucinate invalid values.
Error handling mentions 'raises ValueError' but provides no recovery guidance. LLMs cannot determine if error is retryable, user-fixable, or fatal.
Tool name 'get_quote_endpoint' is non-standard. Should be 'get_quote' or 'get_latest_quote'. '_endpoint' suffix is implementation detail, not user intent.