Skip to main content
Glama
calvernaz

Alpha Vantage MCP Server

by calvernaz

aroon

Calculate the Aroon indicator to identify trend changes and strength in stock prices using Alpha Vantage market data.

Instructions

Fetch aroon

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
intervalYes
monthNo
time_periodYes
datatypeNo
Behavior1/5

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

No annotations are provided, so the description must fully disclose behavioral traits. 'Fetch aroon' only implies a read operation without details on rate limits, authentication needs, data sources, or output format. This is inadequate for a tool with 5 parameters and no output schema.

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 two words, 'Fetch aroon', which is front-loaded and wastes no space. However, this brevity comes at the cost of clarity and completeness, but strictly for conciseness, it scores high.

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 (5 parameters, 0% schema coverage, no annotations, no output schema, and many sibling tools), the description is completely inadequate. It doesn't explain the tool's purpose, usage, behavior, or parameters, failing to provide essential context for effective agent use.

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%, so the description must compensate by explaining parameters. It adds no meaning beyond the schema, failing to clarify what 'symbol', 'interval', 'month', 'time_period', or 'datatype' represent, their formats, or typical values, leaving all 5 parameters undocumented.

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 aroon' restates the tool name with a generic verb, making it tautological. It doesn't specify what 'aroon' refers to (likely a technical indicator in financial data) or what resource is being fetched, leaving the purpose vague compared to more descriptive sibling tools like 'time_series_daily' or 'rsi'.

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 financial indicators (e.g., 'rsi', 'macd', 'stoch'), the description lacks any context, prerequisites, or comparisons, leaving the agent with no usage direction.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/calvernaz/alphavantage'

If you have feedback or need assistance with the MCP directory API, please join our Discord server