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calvernaz

Alpha Vantage MCP Server

by calvernaz

brent_crude_oil

Fetch real-time and historical Brent crude oil price data for financial analysis and market monitoring through Alpha Vantage API.

Instructions

Fetch Brent crude oil

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intervalNo
datatypeNo
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 but only states 'Fetch Brent crude oil', which implies a read operation without details on rate limits, authentication needs, data freshness, or return format. It lacks behavioral traits like whether it's real-time or historical, making it inadequate for a tool with parameters.

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 zero waste, making it appropriately sized and front-loaded. However, this conciseness comes at the cost of under-specification, not verbosity.

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

Completeness1/5

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

Given the complexity (a data-fetching tool with 2 parameters), no annotations, no output schema, and 0% schema coverage, the description is completely inadequate. It doesn't explain what data is returned, how parameters affect the fetch, or behavioral context, failing to provide necessary completeness.

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

Parameters1/5

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

Schema description coverage is 0%, and the description doesn't mention parameters at all. With 2 parameters ('interval', 'datatype') undocumented in both schema and description, it fails to add any meaning or compensate for the coverage gap, leaving their purpose and usage unclear.

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

Purpose2/5

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

The description 'Fetch Brent crude oil' restates the tool name 'brent_crude_oil' with a generic verb, making it tautological. It doesn't specify what exactly is fetched (e.g., price data, historical trends, current quotes) or distinguish it from sibling tools like 'wti_crude_oil', leaving the purpose vague beyond the obvious resource.

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

Usage Guidelines1/5

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 many sibling tools for commodities (e.g., 'wti_crude_oil', 'natural_gas', 'all_commodities'), the description offers no context, exclusions, or prerequisites, making it misleadingly simple for selection.

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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