AI agents call search_tools to retrieve information from Qveris Agent Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Search and discovery functions that retrieve metadata about available capabilities are Read operations with minimal risk. The deprecation status and incomplete description lower impact further. No side effects, data modification, code execution, destructive actions, or financial operations are evident from the available information.
From the tool's definition Tool is explicitly marked as '[Deprecated: use' with incomplete description, indicating it is a search/discovery function.
Documented attack patterns abuse exactly the kind of access search_tools gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qveris Agent Toolkit, and nothing reaches the server without passing your rules. This is the rule we recommend for search_tools:
{
"version": "1",
"default": "deny",
"tools": {
"search_tools": {}
}
}search_tools is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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[Deprecated: use. It is categorised as a Read tool in the Qveris Agent Toolkit MCP Server, which means it retrieves data without modifying state.
Register the Qveris Agent Toolkit MCP server in PolicyLayer and add a rule for search_tools: 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 Qveris Agent Toolkit. Nothing to install.
search_tools 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 search_tools 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 search_tools. 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.
search_tools is provided by the Qveris Agent Toolkit MCP server (qverisai/qveris-agent-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Qveris Agent Toolkit tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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8 Qveris Agent Toolkit tools catalogued and risk-classified — across an index of 42,500+ MCP servers.