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wshobson

MaverickMCP

create_strategy_ensemble

Create and backtest a strategy ensemble across multiple stock symbols to combine base strategies and optimize portfolio performance.

Instructions

Create and backtest a strategy ensemble across multiple symbols.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolsYesList of stock symbols
base_strategiesNoList of base strategy names to ensemble
weighting_methodNoWeighting method (performance, equal, volatility)performance
start_dateNoStart date for backtesting
end_dateNoEnd date for backtesting
initial_capitalNoInitial capital per symbol

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full behavioral disclosure burden. It only states the action without revealing side effects (e.g., data persistence), performance implications, or any state changes. The output schema exists but is not referenced.

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, well-structured sentence of 10 words. It is front-loaded with the purpose and contains no filler or redundancy.

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

Completeness3/5

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

Given the tool's complexity (6 parameters, output schema exists), the description is minimal. It does not explain what an ensemble is, how weighting methods work, or what the backtest produces. The output schema likely covers return values, but the description could still be more informative.

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%, so the parameters are fully documented in the schema. The description adds no extra meaning beyond the schema. Baseline score of 3 is appropriate as the description is not misleading but contributes nothing extra.

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

Purpose5/5

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

The description clearly states the verb ('Create and backtest') and the resource ('strategy ensemble') and specifies the scope ('across multiple symbols'). It distinguishes this tool from siblings like 'create_signal' or 'optimize_strategy' which focus on individual strategies.

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?

The description provides no guidance on when to use this tool versus alternatives such as 'optimize_strategy', 'compare_strategies', or 'backtest_signal'. It lacks context about prerequisites or complementary tools.

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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