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PerssonaOps

@perssona/orchestrator

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by PerssonaOps

Create Agent Pair

create_agent_pair

Sets up a pair of connected LLM terminals for parallel roles like design and corrections.

Instructions

Create two connected LLM terminals for parallel roles like design and corrections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNodeIdNo
workflowPresetIdNo
primaryAgentPresetIdNo
secondaryAgentPresetIdNo
primaryLlmNocodex
secondaryLlmNoclaude
primaryLabelNo
secondaryLabelNo
primaryModelIdNo
primaryModelLabelNo
secondaryModelIdNo
secondaryModelLabelNo
sharedPromptNo
primaryPromptNo
secondaryPromptNo
submitNo
cwdNo
addToGridNo
openInGridNo
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions 'connected' but does not disclose side effects, requirements, or outcomes. With 19 parameters and no output schema, the description is insufficient for understanding behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise but under-specified for a tool with 19 parameters. It is not excessively verbose, but the brevity sacrifices clarity and completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the high complexity (19 parameters, no output schema, no annotations), the description is severely incomplete. It fails to explain return values, parameter relationships, or necessary prerequisites, making it inadequate for correct tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds no parameter explanations. With 19 parameters, the agent must rely solely on parameter names, which may be ambiguous (e.g., sourceNodeId, workflowPresetId). The description fails to compensate for the lack of schema descriptions.

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?

The description clearly states the verb 'create' and the resource 'two connected LLM terminals', with an example usage 'parallel roles like design and corrections'. It distinguishes from siblings that create single terminals (e.g., create_claude_terminal_from_agent) or connect nodes.

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?

The description implies usage for parallel roles but provides no explicit guidance on when to use this tool versus alternatives like create_connected_terminal or connect_nodes. No when-not use cases or alternatives are mentioned.

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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