Validate Agent Architecture

Pro/Teams — first-pass doctrine review of agentic code/workflow against the 10-principle Agentic AI Blueprint. ON CLIENT TIMEOUT — DO NOT RETRY THIS TOOL. Long-

liveverifiedunknown~5s typical

mcpprobedaidesignblueprint

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-aidesignblueprint-blueprint /architect.validate for me.

Input

Field	Type	Description
implementation_context*	string	The artifact under review. SEND FULL FILE CONTENTS VERBATIM — the architect cites per-line
focus_area	string	Narrow the evaluation to a specific principle cluster or slug (e.g. 'delegation', 'visibil
task	string	What the agent or workflow is trying to accomplish. Adds evaluation context.
language	string	Programming language of the code being evaluated (e.g. 'python', 'typescript').
repository	string	Iteration key. SAME value across calls auto-resolves the most recent prior run as `prior_r
files	string	List of file paths relevant to the implementation context.
goals	string	Specific safety or quality goals to evaluate against (e.g. 'prevent irreversible actions',
example_limit	integer	Maximum number of curated examples to include in recommendations. default 3
private_session	boolean	Set to true to disable logging AND prior-run anchoring AND run_id recovery for this call. default false
session_id	string	Optional Governed Session to attach this run to (GEP-M2). Must reference a session YOU own

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-aidesignblueprint-blueprint","endpoint":"/architect.validate","input":{"implementation_context":"...","example_limit":3,"private_session":false}}'

cli

npx cracked-ai run -p mcp-com-aidesignblueprint-blueprint -e /architect.validate -i '{"implementation_context":"...","example_limit":3,"private_session":false}'

mcp

run_tool({ provider: "mcp-com-aidesignblueprint-blueprint", endpoint: "/architect.validate", input: {"implementation_context":"...","example_limit":3,"private_session":false} })

Try it

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