AI agents call discover_tools to retrieve information from Disvr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool queries an index of MCP servers and returns ranked recommendations. It only retrieves and surfaces information—no data is created, modified, deleted, or executed. Side effects are limited to a read/search operation against a catalogue.
From the tool's definition 'Find the best tools for a task. Returns ranked recommendations with install instructions.'
Attacks that exploit this kind of access
Find the best tools for a task. Returns ranked recommendations with install instructions. It is categorised as a Read tool in the Disvr MCP Server, which means it retrieves data without modifying state.
Register the Disvr MCP server in PolicyLayer and add a rule for discover_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 Disvr. Nothing to install.
discover_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 discover_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 discover_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.
discover_tools is provided by the Disvr MCP server (svanik-yan/disvr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →