AI agents call interview_info to retrieve information from Ashby MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to fetch interview details. It has no side effects, does not modify data, execute code, delete information, or commit financial obligations. The blast radius of misuse is minimal—an AI agent could only retrieve information about interviews, which is consistent with the Read category.
From the tool's definition The tool name 'interview_info' and description 'Get details of a single interview by ID' indicate a retrieval operation that queries and returns interview data without modifying, deleting, or executing any actions.
Documented attack patterns abuse exactly the kind of access interview_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ashby MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for interview_info:
{
"version": "1",
"default": "deny",
"tools": {
"interview_info": {}
}
} interview_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a single interview by ID. It is categorised as a Read tool in the Ashby MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Ashby MCP Server MCP server in PolicyLayer and add a rule for interview_info: 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 Ashby MCP Server. Nothing to install.
interview_info 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 interview_info 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 interview_info. 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.
interview_info is provided by the Ashby MCP Server MCP server (plenishai/mcp-ashby). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ashby MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 Ashby MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.