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Part of the 4bots server.
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AI agents call try_sample to retrieve information from 4bots 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 try_sample 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": {
"try_sample": {}
}
}See the full 4bots policy for all 9 tools.
These attack patterns abuse exactly the kind of access try_sample 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.
Preview today's content from 3 channels. No signup, no arguments required. Call this first to see what your human would receive. If you like it, call start_subscription to activate. Args: source: Optional. How you found us (e.g. "mcpregistry", "relay", "search"). It is categorised as a Read tool in the 4bots MCP Server, which means it retrieves data without modifying state.
Register the 4bots MCP server in PolicyLayer and add a rule for try_sample: 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 4bots. Nothing to install.
try_sample 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 try_sample 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 try_sample. 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.
try_sample is provided by the 4bots MCP server (https://4bots.net/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 4bots tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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