AI agents call find_tenant to retrieve information from Docs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears designed to locate or identify a tenant within the multi-tenant system, consistent with read-only data retrieval. No indication of data modification, deletion, code execution, or financial operations. Confidence is not higher due to the empty description; if the tool performs unexpected side effects, this classification could change.
From the tool's definition Tool name 'find_tenant' suggests a lookup or search operation; the server description indicates this is a multi-tenant documentation indexing system with 'search and fetch tools' for information retrieval.
Attacks that exploit this kind of access
find_tenant. It is categorised as a Read tool in the Docs MCP Server, which means it retrieves data without modifying state.
Register the Docs MCP server in PolicyLayer and add a rule for find_tenant: 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 Docs. Nothing to install.
find_tenant 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 find_tenant 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 find_tenant. 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.
find_tenant is provided by the Docs MCP server (pankaj28843/docs-mcp-server). 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.
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