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atlas_incident_counterfactual

Find feature values that would flip a model's decision for a given incident, clarifying the decision boundary around confirmed incidents.

Instructions

Counterfactual analysis for a specific incident — what feature values would have flipped the model decision. Useful for understanding the decision boundary around a confirmed incident.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
incident_idYesIncident ID — readable (IR-2026-0142) or hash form
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It describes the purpose but omits side effects, auth needs, rate limits, or whether the operation is read-only. Lacks safety and behavioral context.

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?

Two sentences, front-loaded with purpose and value. No wasted words, but could be more structured with explicit output or usage hints.

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?

No output schema, and description does not explain return values or error handling. For a tool with many siblings and no annotations, more context is needed for the agent to confidently invoke it.

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% with a clear description of incident_id format. The description does not add new meaning beyond the schema, so baseline 3 is appropriate.

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 clearly states action ('Counterfactual analysis') and resource ('specific incident'), with a specific verb and resource. Distinguishes from sibling tools like atlas_incident_shap by focusing on what feature values would flip decision.

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?

Description says 'Useful for understanding the decision boundary around a confirmed incident', which implies context of use. However, it does not explicitly state when to use versus alternatives or exclude cases, leaving the agent to infer.

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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