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MissionSquad

MCP Avantage

by MissionSquad

technicalIndicators_rocr

Calculate the Rate of Change Ratio (ROCR) for stocks to measure price momentum over specified time periods, using Alpha Vantage financial data through MCP Avantage.

Instructions

Rate of change ratio (ROCR)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesThe stock symbol (e.g., "IBM").
intervalYesTime interval (e.g., "daily", "60min", "weekly"). Check Alpha Vantage docs for valid intervals per indicator.
datatypeNoData format for the response.json
monthNoSpecific month for intraday intervals (YYYY-MM format).
time_periodYesNumber of data points used to calculate the indicator.
series_typeYesThe desired price type.
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 for behavioral disclosure. The description offers no information about what the tool does operationally (e.g., fetches data from Alpha Vantage API, calculates ROCR values, returns time series), performance characteristics, error conditions, or authentication requirements. It's a bare acronym with zero behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

While technically concise (just 3 words), this is under-specification rather than effective conciseness. The description fails to provide essential information that would help an AI agent understand and use the tool. Every sentence should earn its place, but this single phrase doesn't earn its place by adding meaningful value.

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 tool's complexity (technical indicator calculation with 6 parameters), lack of annotations, and no output schema, the description is completely inadequate. It doesn't explain what ROCR is, what it calculates, what the output looks like, or how it relates to financial analysis. For a specialized tool in a crowded namespace, this minimal description fails to provide necessary context.

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 100%, so the schema already documents all 6 parameters thoroughly with descriptions, enums, and defaults. The description adds no parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 'Rate of change ratio (ROCR)' is a tautology that restates the tool name with minimal expansion. It doesn't specify what the tool actually does (e.g., calculates a technical indicator for financial data), what resource it operates on, or how it differs from sibling tools like technicalIndicators_ema or technicalIndicators_sma. The purpose remains vague beyond the acronym.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling technical indicator tools available (e.g., technicalIndicators_ema, technicalIndicators_sma, technicalIndicators_aroon), there's no indication of what ROCR is best for, when it's appropriate, or what distinguishes it from other indicators. Usage context is completely absent.

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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