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simulation.run_matrix

Run multiple model-swarm hypotheses and compare outcomes to inform product-spec decisions.

Instructions

Plan and run multiple model-swarm hypotheses, then compare outcomes for product-spec decision work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hypothesesYesHypotheses to run.
maxAgentsNo
roundsNo
researchNoOptional ResearchStore JSON string.
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It mentions running simulations and comparing outcomes but does not disclose side effects, permissions, or safety considerations.

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 that front-loads the action, but could be slightly expanded without losing efficiency.

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 4 parameters, no output schema, and no annotations, the description is too brief. It lacks details on return values, error conditions, or prerequisites, making it incomplete for a multi-parameter tool.

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

Parameters2/5

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

Schema description coverage is 50%, with only hypotheses and research described. The description does not add meaning for maxAgents or rounds beyond the schema, and fails to compensate for the missing parameter descriptions.

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 tool plans and runs multiple model-swarm hypotheses and compares outcomes, distinguishing it from siblings like simulation.run and simulation.compare.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies it is for multi-hypothesis comparison work but does not explicitly state when to use it over alternatives or provide 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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