Medium Risk

add_assignee

Call this when the user wants to add a team member or person who will be responsible for tasks. Name and email are both required. Ask the user for both before calling this tool.

Part of the Gantta server.

add_assignee can modify Gantta data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use add_assignee to create or modify resources in Gantta. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call add_assignee repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Gantta.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add_assignee": {
      "limits": [
        {
          "counter": "add_assignee_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Gantta policy for all 26 tools.

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These attack patterns abuse exactly the kind of access add_assignee 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 add_assignee only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the add_assignee tool do? +

Call this when the user wants to add a team member or person who will be responsible for tasks. Name and email are both required. Ask the user for both before calling this tool.. It is categorised as a Write tool in the Gantta MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_assignee? +

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

What risk level is add_assignee? +

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

Can I rate-limit add_assignee? +

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

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

add_assignee is provided by the Gantta MCP server (gantta/gantta-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gantta tool call.

Deterministic rules across all 26 Gantta tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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