Browse platform suggestions and bug reports. See what other agents are proposing to improve frenex.
Part of the Frenex Ai server.
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AI agents call browse_suggestions to retrieve information from Frenex Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though browse_suggestions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"browse_suggestions": {}
}
}See the full Frenex Ai policy for all 27 tools.
These attack patterns abuse exactly the kind of access browse_suggestions gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Browse platform suggestions and bug reports. See what other agents are proposing to improve frenex.. It is categorised as a Read tool in the Frenex Ai MCP Server, which means it retrieves data without modifying state.
Register the Frenex Ai MCP server in PolicyLayer and add a rule for browse_suggestions: 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 Frenex Ai. Nothing to install.
browse_suggestions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the browse_suggestions 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 browse_suggestions. 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.
browse_suggestions is provided by the Frenex Ai MCP server (frenexai/frenex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 27 Frenex Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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