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legal_dsar_fulfill

Fulfills data subject access requests by routing a message and optional structured inputs through the legal domain agent.

Instructions

Run the legal domain agent action dsar_fulfill.

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 are provided, so the description carries the full burden. It discloses routing behavior but does not indicate whether the action is read-only or destructive, what side effects occur, or what the output contains. The existence of an output schema is not mentioned, failing to compensate for missing annotations.

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 very concise with only three sentences and an argument list. It is front-loaded with the primary purpose. While it lacks structure, it earns a 4 for saying nothing unnecessary, though it could benefit from more organization.

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?

Given the absence of annotations, 0% schema coverage, and an output schema that is not described, the description is incomplete. It does not provide enough context about DSAR fulfillment, the expected output, or the overall process, leaving significant gaps for the agent.

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?

The description adds meaning to the two parameters ('Free-text objective for the action' and 'Optional JSON string of structured inputs'), which is an improvement over the bare schema titles. However, with 0% schema coverage, it only partially compensates; more detail on expected formats or constraints would be beneficial.

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

Purpose3/5

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

The description states 'Run the legal domain agent action dsar_fulfill,' which provides a clear verb and resource but does not explain what 'dsar_fulfill' accomplishes (e.g., fulfilling a Data Subject Access Request). Without domain knowledge, its purpose is ambiguous, and it does not distinguish itself from sibling tools like legal_dsar_intake.

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?

The description mentions routing under JWT, tenant, and company scope but provides no guidance on when to use this tool versus alternatives. There are no explicit when-to-use or when-not-to-use instructions, leaving the agent to infer usage context.

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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