Synchronize workspace file changes into the belief and verification layers. Detects new, modified, and deleted source files, marks affected beliefs stale, recompiles changed files into fresh beliefs, runs a verification pass, and writes a sync report into actions/.
AI agents use sync_workspace_changes to create or update resources in Entroly Context Engine — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Entroly Context Engine environment.
This tool reads workspace file changes and then writes/updates internal state (belief layer, verification layer, sync report). It modifies the engine's internal data structures and writes output files, but does not irreversibly delete user source files or execute arbitrary code. The 'deleted source files' detection is passive detection, not deletion.
From the tool's definition Synchronize workspace file changes into the belief and verification layers. Detects new, modified, and deleted source files, marks affected beliefs stale, recompiles changed files into fresh beliefs, runs a verification pass, and writes a sync report into…
Documented attack patterns abuse exactly the kind of access sync_workspace_changes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Entroly Context Engine, and nothing reaches the server without passing your rules. This is the rule we recommend for sync_workspace_changes:
{
"version": "1",
"default": "deny",
"tools": {
"sync_workspace_changes": {
"limits": [
{
"counter": "sync_workspace_changes_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}sync_workspace_changes 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.
Free to start. No card required.
Synchronize workspace file changes into the belief and verification layers. Detects new, modified, and deleted source files, marks affected beliefs stale, recompiles changed files into fresh beliefs, runs a verification pass, and writes a sync report into actions/. It is categorised as a Write tool in the Entroly Context Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Entroly Context Engine MCP server in PolicyLayer and add a rule for sync_workspace_changes: 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 Entroly Context Engine. Nothing to install.
sync_workspace_changes 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 sync_workspace_changes 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 sync_workspace_changes. 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.
sync_workspace_changes is provided by the Entroly Context Engine MCP server (juyterman1000/entroly). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Entroly Context Engine, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
52 Entroly Context Engine tools catalogued and risk-classified — across an index of 43,000+ MCP servers.