Get pending clarification questions for a goal with agent-suggested answers. Use this after create_goal with auto_respond=false. Returns the list of clarification questions along with what the agent suggested for each one, including confidence levels and reasoning. Review the suggestions, then us...
AI agents call get_clarification to retrieve information from Unfold It MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
get_clarification queries and retrieves pending clarification questions and agent suggestions. It does not create, modify, delete, execute code, or commit financial obligations. The actual acceptance or override of suggestions occurs in a separate tool (submit_clarification). This is a pure Read operation with minimal blast radius if misused.
From the tool's definition Tool description states it 'Returns the list of clarification questions along with what the agent suggested' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get pending clarification questions for a goal with agent-suggested answers. Use this after create_goal with auto_respond=false. Returns the list of clarification questions along with what the agent suggested for each one, including confidence levels and reasoning. Review the suggestions, then use submit_clarification to accept or override them. It is categorised as a Read tool in the Unfold It MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unfold It MCP Server MCP server in PolicyLayer and add a rule for get_clarification: 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 Unfold It MCP Server. Nothing to install.
get_clarification 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 get_clarification 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 get_clarification. 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.
get_clarification is provided by the Unfold It MCP Server MCP server (unfold-it/unfoldit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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