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wshobson

MaverickMCP

generate_backtest_charts

Generate backtest charts for stock symbols: define strategy, date range, and chart theme.

Instructions

Generate comprehensive charts for a backtest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol
strategyNoStrategy typesma_cross
start_dateNoStart date (YYYY-MM-DD)
end_dateNoEnd date (YYYY-MM-DD)
themeNoChart theme (light or dark)light

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states 'generate charts' but omits details like whether it requires a prior backtest, if it modifies state, or output characteristics. The description is too thin for a generation tool.

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

Conciseness4/5

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

The description is a single concise sentence with no wasted words. It is front-loaded but could benefit from a brief example or context.

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?

With 5 parameters and an output schema, the description lacks necessary context about prerequisites (e.g., a backtest must exist), return format, or how it fits with sibling tools. It is incomplete for effective use.

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 coverage is 100%, and the description adds no extra meaning beyond the parameter names and default values. Baseline 3 is appropriate as the schema already documents parameters sufficiently.

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

Purpose4/5

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

The description clearly states the tool generates charts for a backtest, which distinguishes it from pure backtesting or optimization tools. However, it does not specify the type or scope of charts, leaving minor ambiguity.

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 on when to use this tool versus alternatives like generate_optimization_charts or data_get_chart_links. The description lacks context for appropriate use cases and exclusions.

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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