Trigger a project update (SCM sync) for a specific project.
AI agents invoke update_project to trigger actions in AAP Enterprise MCP Server. 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.
This tool triggers an external operation — an SCM synchronization — which causes the Ansible Automation Platform to pull changes from a source control repository. This is an active operation with external side effects (network calls, file changes on the server) rather than a simple data write.
From the tool's definition Trigger a project update (SCM sync) for a specific project
Documented attack patterns abuse exactly the kind of access update_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AAP Enterprise MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_project:
{
"version": "1",
"default": "deny",
"tools": {
"update_project": {
"limits": [
{
"counter": "update_project_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}update_project 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.
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Trigger a project update (SCM sync) for a specific project. It is categorised as a Execute tool in the AAP Enterprise MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AAP Enterprise MCP Server MCP server in PolicyLayer and add a rule for update_project: 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 AAP Enterprise MCP Server. Nothing to install.
update_project 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 update_project 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 update_project. 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.
update_project is provided by the AAP Enterprise MCP Server MCP server (sibilleb/aap-enterprise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 69 AAP Enterprise MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
69 AAP Enterprise MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.