Medium Risk

update_mnemons_content

Edit the content blocks of one or more mnemon entries. Each item carries an entryId and an ordered list of ops (append, insertAfter, replace, remove) applied atomically per entry. Block addressing: get block ids from get_mnemon, then target them in replace/remove/insertAfter. New blocks (append, ...

Part of the Argo Mcp server.

update_mnemons_content 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_mnemons_content 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_mnemons_content 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_mnemons_content": {
      "limits": [
        {
          "counter": "update_mnemons_content_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Edit the content blocks of one or more mnemon entries. Each item carries an entryId and an ordered list of ops (append, insertAfter, replace, remove) applied atomically per entry. Block addressing: get block ids from get_mnemon, then target them in replace/remove/insertAfter. New blocks (append, insertAfter, replace) get fresh server-generated UUIDs. Text in block 'text' is HTML — use <b>, <i>, <a>, <br>, <img>; do NOT use Markdown like 'bold' or '# heading'. Use blockType for paragraph/heading1/heading2/bullet_list/numbered_list/todo/quote/code/callout/divider/image. Inline <img src="data:..."> or <img src="https://..."> is uploaded to the campaign asset bucket and the src is rewritten to asset:<id>. SSRF-blocked / oversize / failed fetches are stripped with a warning. On a bad op (missing blockId, unknown blockType, etc.) the whole entry's batch is rejected with the failedOpIndex; no partial mutation per entry.. 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_mnemons_content? +

Register the Argo MCP server in PolicyLayer and add a rule for update_mnemons_content: 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_mnemons_content? +

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

Can I rate-limit update_mnemons_content? +

Yes. Add a rate_limit block to the update_mnemons_content 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_mnemons_content completely? +

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

update_mnemons_content 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.

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