review specification

Instant, synchronous engineering review of a physical requirement — nothing is submitted or stored. Purpose prose is preserved as intent but is not silently con

liveunknown~5s typical

mcpa2a2p—agent-to-agent-to-physical

$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-a2a2p-a2a2p /review_specification for me.

Input

Field	Type	Description
requirement	string	Plain-language description of the physical need. Maps to intent.purpose. Include function,
quantity	integer	Number of units needed. Maps to intent.quantity.
constraints	string	Hard constraints: tolerances, certifications, materials to avoid, size/weight limits. Maps
budget_usd	number	Approximate budget in USD. Maps to intent.budget_envelope.
deadline	string	Required delivery date or timeframe. Maps to intent.timeline.
contact	string	Optional email or callback endpoint for quote delivery.
business_context	string	Optional business requirements (expected volumes, cost targets, ROI constraints). If provi
callback_url	string	Optional HTTPS URL. When the quote is ready, a2a2p POSTs it as JSON to this URL.
intent	object	Layer 1 — the problem. What the physical matter needs to DO. Use this for intent-driven re
specification	object	Layer 2 — the solution. What the physical matter IS. Populate what is known. Precise speci
rejected_alternatives	array	Options already considered and ruled out. Prevents re-suggesting and builds the learning c

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-a2a2p-a2a2p","endpoint":"/review_specification","input":{}}'

cli

npx cracked-ai run -p mcp-com-a2a2p-a2a2p -e /review_specification -i '{}'

mcp

run_tool({ provider: "mcp-com-a2a2p-a2a2p", endpoint: "/review_specification", input: {} })

Try it

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