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after_action_review

Conduct structured, blameless reviews after incidents or milestones to compare intended vs actual outcomes, identify successes, and determine improvements for systemic growth.

Instructions

TRIGGER: Call this after mitigating an incident or finishing a major project milestone. 🎖️ After Action Review — Structured learning from US Army. Blameless, focused on systemic improvement. Args: intended: What was EXPECTED to happen actual: What ACTUALLY happened went_well: What went WELL and why improve: What should be done DIFFERENTLY next time

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actualYes
improveYes
intendedYes
went_wellYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided. Description adds blameless and systemic improvement context but does not mention side effects, auth needs, or output behavior. With output schema exists, description could do more.

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?

Very concise: trigger, title, and args in a few lines. Front-loaded with key info. No wasted words.

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, description adequately covers purpose and inputs. Could mention storage/return behavior, but overall sufficient for an agent to understand usage.

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?

Schema coverage is 0%, but description compensates by explaining each param: intended (expected), actual (actual), went_well (what and why), improve (different next time). Adds meaning beyond field names.

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?

Clear statement: 'After Action Review — Structured learning from US Army. Blameless, focused on systemic improvement.' Trigger conditions specify when to use. Distinguishes from siblings like five_whys by emphasizing post-incident/milestone review.

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?

Explicit trigger: 'Call this after mitigating an incident or finishing a major project milestone.' Provides clear context but no exclusions 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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