Search for candidates by email and/or name. Not paginated.
AI agents call candidate_search 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 retrieves candidate information based on search criteria (email and/or name). It performs no data modification, deletion, or execution of external operations. The lack of pagination and straightforward search semantics confirm it is a read-only operation with minimal security risk if misused by an agent.
From the tool's definition Tool description states "Search for candidates by email and/or name" with no mention of modifications, deletions, or side effects. The verb "search" indicates a query/retrieval operation.
Documented attack patterns abuse exactly the kind of access candidate_search 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 candidate_search:
{
"version": "1",
"default": "deny",
"tools": {
"candidate_search": {}
}
} candidate_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for candidates by email and/or name. Not paginated. 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 candidate_search: 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.
candidate_search 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 candidate_search 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 candidate_search. 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.
candidate_search 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.