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calvernaz

Alpha Vantage MCP Server

by calvernaz

digital_currency_daily

Retrieve daily historical price data for digital currencies to analyze market trends and track cryptocurrency performance over time.

Instructions

Fetch digital currency daily

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
marketYes
Behavior1/5

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

No annotations are provided, so the description carries full burden. It only states the action ('fetch') without disclosing behavioral traits such as rate limits, authentication needs, data freshness, error handling, or what the output contains (e.g., historical prices). This leaves critical operational details unknown.

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 a single, efficient sentence with no wasted words. It's front-loaded and appropriately sized for the tool's apparent simplicity, though this conciseness comes at the cost of detail.

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 no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks essential context for a data-fetching tool, such as output format, data scope, or behavioral constraints, making it inadequate for reliable agent use.

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?

Schema description coverage is 0%, so the schema provides no parameter details. The description adds no meaning beyond the schema—it doesn't explain what 'symbol' and 'market' represent (e.g., currency ticker, exchange code), their formats, or examples. This fails to compensate for the lack of schema 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 digital currency daily' states the action (fetch) and resource (digital currency daily), but it's vague about what 'digital currency daily' specifically refers to (e.g., price data, volume, market data). It doesn't distinguish from siblings like 'digital_currency_monthly' or 'digital_currency_weekly', leaving ambiguity about scope.

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. With siblings like 'digital_currency_monthly', 'digital_currency_weekly', and 'crypto_intraday', there's no indication of differences in timeframes or data granularity, nor any prerequisites or exclusions mentioned.

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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