request_challenge

Request a new challenge string from the tether.name API. This challenge must be signed and submitted back for verification.

Server Tether Name tether-name-mcp-server
Category Read
Risk class Low
Parameters 00 required

What request_challenge does on Tether Name

AI agents call request_challenge to retrieve information from Tether Name without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why request_challenge needs a policy

This tool performs a simple query to obtain a challenge value for cryptographic verification purposes. While it initiates part of an authentication flow, the act of requesting a challenge is non-destructive and read-only. The actual verification happens when the signed challenge is submitted via 'submit_proof'.

From the tool's definition The tool 'request_challenge' retrieves a challenge string from the API with no side effects. The description states it 'request[s] a new challenge string' which is a read operation—it obtains data without modifying, deleting, or executing arbitrary operations.

Questions about request_challenge

What does the request_challenge tool do? +

Request a new challenge string from the tether.name API. This challenge must be signed and submitted back for verification. It is categorised as a Read tool in the Tether Name MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on request_challenge? +

Register the Tether Name MCP server in PolicyLayer and add a rule for request_challenge: 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 Tether Name. Nothing to install.

What risk level is request_challenge? +

request_challenge is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit request_challenge? +

Yes. Add a rate_limit block to the request_challenge 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.

How do I block request_challenge completely? +

Set action: deny in the PolicyLayer policy for request_challenge. 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.

What MCP server provides request_challenge? +

request_challenge is provided by the Tether Name MCP server (tether-name-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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