AI agents call tani_agent to retrieve information from Tani without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about a registered agent (its identity, published capabilities, and contact details) without creating, modifying, deleting, or executing anything. It is a straightforward lookup operation analogous to a directory query, placing it firmly in the Read category.
From the tool's definition 'Get one agent: identity, published surfaces, and how to reach it' — pure retrieval of agent metadata with no state modification or external effects.
Attacks that exploit this kind of access
Get one agent: identity, published surfaces, and how to reach it. It is categorised as a Read tool in the Tani MCP Server, which means it retrieves data without modifying state.
Register the Tani MCP server in PolicyLayer and add a rule for tani_agent: 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 Tani. Nothing to install.
tani_agent 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 tani_agent 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 tani_agent. 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.
tani_agent is provided by the Tani MCP server (naylalabs-org/tani-mcp). 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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