Low Risk

get_license_info

Returns the authenticated user's complete license allocation overview: total premium licenses, personal usage, allocatable licenses, per-organization allocations, and free licenses. Use this to understand available capacity before allocating licenses. Requires content_only scope.

Risk signalsHandles credentials or secrets (access_token)

Part of the Agentview server.

get_license_info 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 get_license_info to retrieve information from Agentview 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 get_license_info 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": {
    "get_license_info": {}
  }
}

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Get this rule live on your own Agentview 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 get_license_info gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_license_info 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 get_license_info tool do? +

Returns the authenticated user's complete license allocation overview: total premium licenses, personal usage, allocatable licenses, per-organization allocations, and free licenses. Use this to understand available capacity before allocating licenses. Requires content_only scope.. It is categorised as a Read tool in the Agentview MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_license_info? +

Register the Agentview MCP server in PolicyLayer and add a rule for get_license_info: 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 Agentview. Nothing to install.

What risk level is get_license_info? +

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

Can I rate-limit get_license_info? +

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

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

get_license_info is provided by the Agentview MCP server (rafaelkocurek-nvob/agentview). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agentview tool call.

Deterministic rules across all 55 Agentview tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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