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legal_privacy_incident_response_loop

Run the privacy incident response loop for legal domain by submitting a message and optional structured inputs to automate incident handling.

Instructions

Run the legal domain agent action privacy_incident_response_loop.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so the description carries full burden. It mentions routing through a dispatcher under JWT/tenant/company scope but does not disclose important traits like idempotency, side effects (e.g., creating records), rate limits, or error behavior. This is insufficient for a tool that likely modifies state.

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 about four sentences and includes a clear args section. It is concise but front-loads the action name and routing context, then lists parameters. Minor overhead: the routing line could be condensed.

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 runs a domain agent action (potentially long-running), the description does not explain whether it is synchronous, how to track progress, or what the output schema represents. With no annotations, more context about the loop's lifecycle and return behavior would improve completeness.

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?

The input schema has no descriptions (0% coverage), so the description compensates by defining 'message' as a free-text objective and 'inputs' as an optional JSON string. This adds meaning beyond the schema's default values and types, helping the agent understand parameter purpose.

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

Purpose4/5

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

The description clearly states it runs the legal domain agent action 'privacy_incident_response_loop', which is specific to privacy incidents. However, among many similar legal tools (e.g., legal_breach_response, legal_dsar_fulfill), it does not differentiate when to use this tool over others, missing a chance to clarify its unique role.

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?

No guidance is provided on when to use this tool versus its siblings. The description lacks any context about prerequisites, typical use cases, or exclusions, leaving the agent to guess the appropriate scenario for invocation.

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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