Write the user's answer to a previously asked question
Part of the Agent Team server.
Free to start. No card required.
AI agents use answer_user_question to create or modify resources in Agent Team. 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 answer_user_question 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 Agent Team.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"answer_user_question": {
"limits": [
{
"counter": "answer_user_question_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Agent Team policy for all 46 tools.
These attack patterns abuse exactly the kind of access answer_user_question 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.
Write the user's answer to a previously asked question. It is categorised as a Write tool in the Agent Team MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agent Team MCP server in PolicyLayer and add a rule for answer_user_question: 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 Agent Team. Nothing to install.
answer_user_question 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 answer_user_question 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 answer_user_question. 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.
answer_user_question is provided by the Agent Team MCP server (agent-team-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 46 Agent Team 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.