Medium Risk

update_quest_mnemons

Update typed/meta fields of Quest mnemons (status transitions, expiry, related entries).

Risk signalsHigh parameter count (29 properties)

Part of the Argo Mcp server.

update_quest_mnemons can modify Argo Mcp 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 update_quest_mnemons to create or modify resources in Argo Mcp. 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 update_quest_mnemons 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 Argo Mcp.

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

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

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These attack patterns abuse exactly the kind of access update_quest_mnemons 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 update_quest_mnemons 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 update_quest_mnemons tool do? +

Update typed/meta fields of Quest mnemons (status transitions, expiry, related entries).. It is categorised as a Write tool in the Argo Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_quest_mnemons? +

Register the Argo MCP server in PolicyLayer and add a rule for update_quest_mnemons: 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 Argo Mcp. Nothing to install.

What risk level is update_quest_mnemons? +

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

Can I rate-limit update_quest_mnemons? +

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

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

update_quest_mnemons is provided by the Argo MCP server (argo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Argo Mcp tool call.

Deterministic rules across all 61 Argo Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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