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Part of the Oculo server.
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AI agents use fill to create or modify resources in Oculo. 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 fill 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 Oculo.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"fill": {
"limits": [
{
"counter": "fill_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Oculo policy for all 12 tools.
These attack patterns abuse exactly the kind of access fill 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.
Fill form fields in Oculo browser by label, placeholder, or data-placeholder text. Handles text, select, checkbox, textarea, and contenteditable (DraftJS, ProseMirror).. It is categorised as a Write tool in the Oculo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Oculo MCP server in PolicyLayer and add a rule for fill: 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 Oculo. Nothing to install.
fill 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 fill 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 fill. 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.
fill is provided by the Oculo MCP server (xidik12/oculo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Oculo tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.