Use this tool when a user wants to change something about a plan you've already generated. Trigger phrases: 'can we compress to X weeks', 'remove the QA pod', 'add a data-migration workstream', 'what if we use AI agents instead of a QA team', 'split this into a phase 1 / phase 2', 'what would it ...
Part of the AiDOOS Virtual Delivery Center server.
Free to start. No card required.
AI agents use refine_plan to create or modify resources in AiDOOS Virtual Delivery Center. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call refine_plan repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AiDOOS Virtual Delivery Center.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"refine_plan": {
"limits": [
{
"counter": "refine_plan_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full AiDOOS Virtual Delivery Center policy for all 5 tools.
These attack patterns abuse exactly the kind of access refine_plan gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Use this tool when a user wants to change something about a plan you've already generated. Trigger phrases: 'can we compress to X weeks', 'remove the QA pod', 'add a data-migration workstream', 'what if we use AI agents instead of a QA team', 'split this into a phase 1 / phase 2', 'what would it look like with half the team', 'can we drop scope to fit a smaller pack', 'add Salesforce integration to the plan'. Requires the plan_id from a prior plan_vdc call. Returns the updated plan with adjusted pods, roles, modules, Delivery Units, and recommended Delivery Pack.. It is categorised as a Write tool in the AiDOOS Virtual Delivery Center MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AiDOOS Virtual Delivery Center MCP server in PolicyLayer and add a rule for refine_plan: 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 AiDOOS Virtual Delivery Center. Nothing to install.
refine_plan is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the refine_plan 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 refine_plan. 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.
refine_plan is provided by the AiDOOS Virtual Delivery Center MCP server (https://aidoos.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 AiDOOS Virtual Delivery Center tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.