Low Risk

get_onboarding_status

MANDATORY: You MUST call this tool as the very first action in every new conversation, before doing anything else. If onboarding is not complete, you MUST walk the user through setup step by step — ask their name, then their role, then their project details. Do NOT skip steps. Do NOT assume value...

Risk signalsBulk/mass operation — affects multiple targets

Part of the Gantta server.

get_onboarding_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 get_onboarding_status to retrieve information from Gantta 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_onboarding_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": {
    "get_onboarding_status": {}
  }
}

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Get this rule live on your own Gantta 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_onboarding_status 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_onboarding_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 get_onboarding_status tool do? +

MANDATORY: You MUST call this tool as the very first action in every new conversation, before doing anything else. If onboarding is not complete, you MUST walk the user through setup step by step — ask their name, then their role, then their project details. Do NOT skip steps. Do NOT assume values. Do NOT proceed to other tools until onboarding is complete.. It is categorised as a Read tool in the Gantta MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_onboarding_status? +

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

What risk level is get_onboarding_status? +

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

Can I rate-limit get_onboarding_status? +

Yes. Add a rate_limit block to the get_onboarding_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 get_onboarding_status completely? +

Set action: deny in the PolicyLayer policy for get_onboarding_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 get_onboarding_status? +

get_onboarding_status 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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