manage_licenses

SERVERagentView SOURCEhttps://agentview.de/mcp

Medium RISK CLASS

Category Write

Parameters 61 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/de-agentview-agentview-mcp/manage-licenses.md

WHAT IT DOES

What manage_licenses does on agentView

AI agents use manage_licenses to create or update resources in agentView, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your agentView environment.

Parameter	Type	Required	Description
`action`	string	Yes	License operation.
`org_id`	string	—	Organization ID (action 'allocate').
`licenses`	integer	—	License slot count for 'allocate'; 0 deallocates all.
`display_id`	string	—	Display profile ID (actions 'assign' and 'unassign').
`access_token`	string	—	Optional bearer token; prefer session_request_id.
`session_request_id`	string	—	Session handle from create_auth_session; pass it on every authenticated call.

Parameters from the server's own tool schema.

RISK

Why manage_licenses is rated Medium

An AI agent can call manage_licenses faster than any human can review: one bad instruction and it creates or modifies resources in agentView by the hundred, each call as confident as the last.

Risk signalsHandles credentials or secrets (access_token) · Admin/system-level operation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_licenses safely

PolicyLayer is an MCP gateway: it sits between your AI agents and agentView, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For manage_licenses, this is the rule to start with:

manage_licenses Rate-limited

manage_licenses stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_licenses": {
      "limits": [
        {
          "counter": "manage_licenses_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect agentView, apply this rule, and every manage_licenses call is checked against it from then on.

FAQ

Questions about manage_licenses

What does the manage_licenses tool do? +

Manages premium display licenses: action 'allocate' sets how many license slots an organization gets (licenses, 0 deallocates all), 'assign' binds a free license to a display, 'unassign' releases a display's license back to the pool. Check availability first with get_license_info. Requires admin scope. It is categorised as a Write tool in the agentView MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does manage_licenses accept? +

manage_licenses accepts 6 parameters: action, org_id, licenses, display_id, access_token, session_request_id. Required: action. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on manage_licenses? +

Register the agentView MCP server in PolicyLayer and add a rule for manage_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.

What risk level is manage_licenses? +

manage_licenses is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit manage_licenses? +

Yes. Add a rate_limit block to the manage_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.

How do I block manage_licenses completely? +

Set action: deny in the PolicyLayer policy for manage_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.

What MCP server provides manage_licenses? +

manage_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.

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