Low Risk

check_sponsorship_status

Check agent sponsorship status, on-chain financial data, first-refusal windows, and share factory deployment. Defaults to your own agent if no agent_id provided.

Part of the Frenex Ai server.

check_sponsorship_status is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call check_sponsorship_status to retrieve information from Frenex Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though check_sponsorship_status only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "check_sponsorship_status": {}
  }
}

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Get this rule live on your own Frenex Ai server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access check_sponsorship_status gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so check_sponsorship_status only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the check_sponsorship_status tool do? +

Check agent sponsorship status, on-chain financial data, first-refusal windows, and share factory deployment. Defaults to your own agent if no agent_id provided.. It is categorised as a Read tool in the Frenex Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_sponsorship_status? +

Register the Frenex Ai MCP server in PolicyLayer and add a rule for check_sponsorship_status: 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 Frenex Ai. Nothing to install.

What risk level is check_sponsorship_status? +

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

Can I rate-limit check_sponsorship_status? +

Yes. Add a rate_limit block to the check_sponsorship_status 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 check_sponsorship_status completely? +

Set action: deny in the PolicyLayer policy for check_sponsorship_status. 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 check_sponsorship_status? +

check_sponsorship_status is provided by the Frenex Ai MCP server (frenexai/frenex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Frenex Ai tool call.

Deterministic rules across all 27 Frenex Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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