Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold and govern an MCP server as a bounded tool seam. Defines which tools the agent may call, enforces the principle that agents call tools and tools call infrastructure. Trigger when adding or reviewing an MCP server in an agent system.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Agents call tools. Tools call infrastructure. This boundary is the governance seam. Do not collapse it.
An MCP server is a contract between an agent and the capabilities it is allowed to use. Its value is not in what it exposes — it is in what it deliberately withholds.
Define the tool seam — before writing any server code, list:
Author the tool manifest — for each tool:
Tool: <name>
Description: <one sentence — what it does and when to call it>
Input schema: <typed fields with constraints>
Output schema: <typed fields>
Side effects: <what it changes in the world — none / read-only / write / external-call>
Auth required: <yes/no and mechanism>
Rate limit: <calls/minute or none>
Enforce least-privilege at the server — the MCP server holds the credentials and enforces the scope. The agent receives only the tool interface. Key rules:
Add input validation at the boundary — every tool validates its inputs before executing. Reject malformed inputs with a structured error, not an exception trace.
Log every tool invocation — at minimum: tool name, caller identity, input summary (no secrets), output summary, timestamp, and latency. These logs are your audit trail.
Test the refusal surface — confirm that:
Document the scope boundary — in the MCP server's README or SKILL.md, explicitly state what the server does NOT expose and why. Scope boundaries that are not documented drift.
Run the Adversarial Gate — common MCP failure modes: overly broad tool descriptions that invite misuse, missing input validation that allows prompt injection via tool arguments, write tools with no confirmation step, no rate limiting on expensive operations.
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概要と使いどころ
Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.
日本語の概要は準備中です。原文の説明を表示しています。
JP's signature red-team pass — "how would I break this?" Argue against your own approach before proceeding. Trigger on any high-stakes decision, architecture choice, or before marking work complete.
日本語の概要は準備中です。原文の説明を表示しています。
Read-only SRE checkup of any GCP project: deterministic probes of the edge, Cloud Run services, 7-day error logs, Cloud Scheduler, alert policies and uptime checks, Secret Manager and IAM, the data stores and the machine's own scheduled jobs, audited into one fixed status table (LIVE / WARNING / RED / INCONCLUSIVE) with evidence, findings by severity, what could not be checked, and a single OVERALL line delivered as one notification. Parametrised by a per-project manifest, so the same routine runs on every project. Use when the operator says "cloud checkup", "SRE check", "is everything live", "what's healthy / warning / red", "any errors this week", "audit the infra", "weekly checkup", "set up the weekly checkup", before a deploy or demo, or after an incident. Cloud Run first; App Engine and GKE differ only in the serving probes.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud guardrails for any vendor workload — Google Cloud (GCP, Vertex AI, GKE), AWS (IAM, EKS, Bedrock), Azure (Entra ID, Policy, AKS), Alibaba Cloud (RAM, mainland/international residency). Enforces identity least-privilege, mechanical policy, data boundaries, residency, cost caps, network egress and observability, with official-source validation before any claim. Trigger on any cloud infrastructure design, review, Terraform plan, or LLM/agent deployment; the-architect routes here.
日本語の概要は準備中です。原文の説明を表示しています。
LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices. Trigger before finalising any architecture that calls LLMs, before scaling a workload, or when a cost estimate is needed.
日本語の概要は準備中です。原文の説明を表示しています。
Decompose an epic into atomic parallelizable tasks, route each to the right skill, and keep the four delivery records straight — issues, STATUS, ROADMAP, CHANGELOG. Use as a meta-router when several skills could apply, and as the baseline for how delivery state is recorded. Trigger at the start of any multi-track epic, when the skill count exceeds ~12, or when the records have drifted from reality.
日本語の概要は準備中です。原文の説明を表示しています。