Start an AI-powered Cedar policy generation from natural language. COST WARNING: Policy generation invokes foundation models and consumes significant compute resources. This is typically the most expensive Policy operation per call. Each invocation incurs AWS charges. The generation is asynchro...
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Part of the AWS Bedrock AgentCore MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke policy_generation_start to trigger processes or run actions in AWS Bedrock AgentCore MCP Server. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
policy_generation_start can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
policy_generation_start:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full AWS Bedrock AgentCore MCP Server policy for all 122 tools.
Agents calling execute-class tools like policy_generation_start have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
policy_generation_start is one of the high-risk operations in AWS Bedrock AgentCore MCP Server. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Start an AI-powered Cedar policy generation from natural language. COST WARNING: Policy generation invokes foundation models and consumes significant compute resources. This is typically the most expensive Policy operation per call. Each invocation incurs AWS charges. The generation is asynchronous — starts in GENERATING and transitions to GENERATED or GENERATE_FAILED. Poll with policy_generation_get. Generated assets auto-delete after 7 days. To persist a generated policy, reference its asset in policy_create via the "policyGeneration" union variant.. It is categorised as a Execute tool in the AWS Bedrock AgentCore MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for policy_generation_start. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS Bedrock AgentCore MCP Server MCP server.
policy_generation_start 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 policy_generation_start rule in your Intercept 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 Intercept policy for policy_generation_start. 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.
policy_generation_start is provided by the AWS Bedrock AgentCore MCP Server MCP server (awslabs.amazon-bedrock-agentcore-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.