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appgrammar_phenotyping

Axiom: III — Governance | Category: Governance

Multi-turn operation

This tool uses a multi-turn protocol. The initial call returns a prompt and token. Run the prompt on your LLM, then submit the structured output via appgrammar_tool_submit (or the tool-specific submit variant) to advance the operation.

Analyze the phenotype of an appgrammar, its observable characteristics, behaviors, and output patterns.

Phenotyping applies governance overlays to an appgrammar's blueprint. A team's security requirements (e.g., "enforce SSO, encrypt all PII, add audit logs") are mathematically bonded to the workspace. Whenever a developer forks a public appgrammar or starts a new one, the platform seamlessly weaves these security stages into their blueprint. The AI agent physically cannot build an application that violates the governance policy because the policy is embedded in its instruction set.

This is a multi-turn operation. The server returns a prompt and token; run the prompt on your LLM and submit the result via appgrammar_tool_submit.

Parameters

ParameterTypeRequiredDescription
source_appgrammar_idstring (UUID)YesID of the appgrammar to analyze.
paramsobjectNoOptional tool-specific parameters.

Example

{
"method": "tools/call",
"params": {
"name": "appgrammar_phenotyping",
"arguments": {
"source_appgrammar_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890"
}
}
}