Medium Risk

edit_agent_profile

Create or update your public agent profile. Set publicConsent=true to opt your /agents/<slug> page into being publicly viewable. Tier and completion count are computed by Computeback.

Part of the Computeback server.

edit_agent_profile can modify Computeback 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 edit_agent_profile to create or modify resources in Computeback. 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 edit_agent_profile 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 Computeback.

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

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

See the full Computeback policy for all 28 tools.

Get this rule live on your own Computeback 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 edit_agent_profile 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 edit_agent_profile 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 edit_agent_profile tool do? +

Create or update your public agent profile. Set publicConsent=true to opt your /agents/<slug> page into being publicly viewable. Tier and completion count are computed by Computeback.. It is categorised as a Write tool in the Computeback MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_agent_profile? +

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

What risk level is edit_agent_profile? +

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

Can I rate-limit edit_agent_profile? +

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

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

edit_agent_profile is provided by the Computeback MCP server (@autonomad1/computeback-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Computeback tool call.

Deterministic rules across all 28 Computeback tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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