AI agents use apply_template to create or update resources in Roadmap Skill — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Roadmap Skill environment.
This tool creates new projects, which is a reversible write operation. It modifies the local state by adding a new project record. The severity is medium because a maliciously created project could consume resources or pollute the task management system, but the operation is reversible (the project can be deleted).
From the tool's definition Tool description states 'Create a new project from a template', which is a create operation that generates new data structures (projects) in the system.
Documented attack patterns abuse exactly the kind of access apply_template gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Roadmap Skill, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_template:
{
"version": "1",
"default": "deny",
"tools": {
"apply_template": {
"limits": [
{
"counter": "apply_template_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}apply_template stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new project from a template. It is categorised as a Write tool in the Roadmap Skill MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Roadmap Skill MCP server in PolicyLayer and add a rule for apply_template: 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 Roadmap Skill. Nothing to install.
apply_template 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 apply_template 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 apply_template. 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.
apply_template is provided by the Roadmap Skill MCP server (shiquda/roadmap-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 Roadmap Skill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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32 Roadmap Skill tools catalogued and risk-classified — across an index of 42,500+ MCP servers.