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legal_smokeball_orchestration

Destructive

Orchestrates Smokeball legal workflows by executing domain agent actions via the platform dispatcher under tenant and company scope.

Instructions

Run the legal domain agent action smokeball_orchestration.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

The description adds some context by stating that the call routes through the platform's domain-agent dispatcher under the caller's JWT, tenant, and company scope. Annotations already signal destructiveHint=true and openWorldHint=true, and the description does not contradict them, but it does not disclose what side effects the underlying orchestration may have.

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 short and well-structured with a clear action statement, a scoping sentence, and an Args list. No sentence is pure filler, though the opening line somewhat duplicates the tool name.

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?

The description does not explain what smokeball_orchestration does, what kinds of objectives are appropriate, or when the agent should invoke it. Even though an output schema exists, the missing purpose and usage context make this less than minimally sufficient for an agent to select and call the tool correctly.

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 description coverage is 0%, so the description's Args section carries the burden. It provides meaningful one-line semantics for both parameters: message is a free-text objective and inputs is an optional JSON string of structured inputs. This goes beyond the bare schema, though the expected structure of inputs is left unspecified.

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

Purpose2/5

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

The description says 'Run the legal domain agent action `smokeball_orchestration`', but this largely restates the tool name and doesn't explain what the orchestration actually accomplishes. It adds routing context but no functional purpose, and does not distinguish itself from sibling tools like legal_smokeball_account_sync or legal_smokeball_matter_operations.

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?

There is no guidance about when to use this tool versus alternatives such as direct smokeball_* operations or other legal_* actions. The description only notes routing under JWT/tenant/company scope, which is an implementation detail rather than usage guidance.

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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