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decision_council_review

Reviews high-stakes decisions by simulating five adversarial perspectives to challenge and uncover hidden risks. Helps identify blind spots before finalizing plans.

Instructions

TRIGGER: Call this for any HIGH-STAKES decision (architecture, security, data model, deployment strategy). Runs the decision through 5 adversarial perspectives that challenge it from different angles.

Args: decision: The decision or plan to review context: Additional context (codebase, constraints, requirements) complexity: Complexity level 1-5 (higher = more perspectives activated)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo
decisionYes
complexityNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided; description only mentions adversarial perspectives and complexity activation, omitting behavioral details like side effects, state changes, or prerequisites.

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?

Extremely concise with front-loaded trigger statement and terse args list; every sentence adds value without redundancy.

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

Completeness4/5

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

Given output schema exists and parameter descriptions are provided, description covers core usage; lacks behavioral context but is otherwise sufficient.

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

Parameters4/5

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

Description provides meaningful definitions for all 3 parameters beyond schema names (e.g., 'complexity: 1-5, higher = more perspectives'), compensating for 0% schema coverage.

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?

Description explicitly states tool is for high-stakes decisions (architecture, security, etc.) and runs them through 5 adversarial perspectives, clearly differentiating from sibling analysis tools.

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

Usage Guidelines4/5

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

Clearly defines trigger condition ('HIGH-STAKES decision') and domains, but does not provide explicit when-not-to-use or alternatives.

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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