Apply normalize operations. Two modes: "extract" writes agent-approved strings to Contentrain content files (source untouched), "reuse" patches source files with agent-provided replacement expressions. DRY RUN (default, dry_run:true): validates inputs, resolves conflicts, and returns a full previ...
Risk signalsAccepts file system path (extractions[].entries[].source.file) · High parameter count (30 properties)
Part of the Contentrain server.
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AI agents use contentrain_apply to create or modify resources in Contentrain. 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 contentrain_apply 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 Contentrain.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"contentrain_apply": {
"limits": [
{
"counter": "contentrain_apply_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Contentrain policy for all 19 tools.
These attack patterns abuse exactly the kind of access contentrain_apply 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.
Apply normalize operations. Two modes: "extract" writes agent-approved strings to Contentrain content files (source untouched), "reuse" patches source files with agent-provided replacement expressions. DRY RUN (default, dry_run:true): validates inputs, resolves conflicts, and returns a full preview — NO changes to disk or git. EXECUTE (dry_run:false): writes files to disk, commits to a branch, and requires branch health check to pass. Recommended workflow: always run dry_run first, review the preview, then call again with dry_run:false to execute. Normalize operations always use review workflow (never auto-merge).. It is categorised as a Write tool in the Contentrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Contentrain MCP server in PolicyLayer and add a rule for contentrain_apply: 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 Contentrain. Nothing to install.
contentrain_apply 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 contentrain_apply 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 contentrain_apply. 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.
contentrain_apply is provided by the Contentrain MCP server (@contentrain/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 19 Contentrain tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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