orch_generate_boilerplate
Genera código Python (Airflow DAG) a partir de un dag_id y una lista de nombres de tareas.
This record as markdown: /tools/inggerman-mcps/orch-generate-boilerplate.md
What orch_generate_boilerplate does on MCP Framework Personal
AI agents invoke orch_generate_boilerplate to trigger actions in MCP Framework Personal. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why orch_generate_boilerplate is rated High
This tool generates Python code (Airflow DAG), which constitutes code generation/execution. While it may only produce code rather than directly executing it, generating runnable DAG code that could be deployed into an orchestration system represents an Execute-level risk. If the generated code is automatically written to a file or registered, the blast radius is high as it could affect production workflows.
From the tool's definition Genera código Python (Airflow DAG) a partir de un dag_id y una lista de nombres de tareas
Attacks that exploit this kind of access
The rule that runs orch_generate_boilerplate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For orch_generate_boilerplate, this is the rule to start with:
orch_generate_boilerplate stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every orch_generate_boilerplate call is checked against it from then on.
Questions about orch_generate_boilerplate
Genera código Python (Airflow DAG) a partir de un dag_id y una lista de nombres de tareas. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for orch_generate_boilerplate: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MCP Framework Personal. Nothing to install.
orch_generate_boilerplate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the orch_generate_boilerplate rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for orch_generate_boilerplate. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
orch_generate_boilerplate is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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