Allocates premium display licenses from the authenticated user's Premium plan to an organization. Premium users have a pool of allocatable licenses (base + purchased extras) that can be distributed across organizations. Requires admin scope and a Premium plan.
Risk signalsHandles credentials or secrets (access_token) · Bulk/mass operation — affects multiple targets · Admin/system-level operation
Part of the agentView server.
Free to start. No card required.
AI agents call allocate_licenses 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 allocate_licenses 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.
{
"version": "1",
"default": "deny",
"tools": {
"allocate_licenses": {}
}
}See the full agentView policy for all 81 tools.
These attack patterns abuse exactly the kind of access allocate_licenses gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Allocates premium display licenses from the authenticated user's Premium plan to an organization. Premium users have a pool of allocatable licenses (base + purchased extras) that can be distributed across organizations. Requires admin scope and a Premium plan.. It is categorised as a Read tool in the agentView MCP Server, which means it retrieves data without modifying state.
Register the agentView MCP server in PolicyLayer and add a rule for allocate_licenses: 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.
allocate_licenses 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 allocate_licenses 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 allocate_licenses. 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.
allocate_licenses is provided by the agentView MCP server (https://agentview.de/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 81 agentView tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.