AI agents use insert_sibling to create or update resources in Ast Editor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ast Editor environment.
The tool inserts new sibling nodes into an AST, which modifies code files reversibly. This is a Write operation: it creates or adds new code elements without deleting or executing anything. The high severity reflects that uncontrolled code injection into source files could break builds, introduce bugs, or modify program logic in unexpected ways.
From the tool's definition Tool name 'insert_sibling' combined with server description stating the server 'provides AI coding agents with the ability to edit files surgically via Abstract Syntax Trees (AST)'.
Documented attack patterns abuse exactly the kind of access insert_sibling gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ast Editor, and nothing reaches the server without passing your rules. This is the rule we recommend for insert_sibling:
{
"version": "1",
"default": "deny",
"tools": {
"insert_sibling": {
"limits": [
{
"counter": "insert_sibling_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}insert_sibling 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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insert_sibling. It is categorised as a Write tool in the Ast Editor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ast Editor MCP server in PolicyLayer and add a rule for insert_sibling: 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 Ast Editor. Nothing to install.
insert_sibling 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 insert_sibling 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 insert_sibling. 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.
insert_sibling is provided by the Ast Editor MCP server (kambleakash0/agent-skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ast Editor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Ast Editor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.