Medium Risk

compare_capabilities

Side-by-side comparison structure for 2-5 Capabilities. Returns each Capability's fields aligned in a uniform row-per-field shape — same data backing as the Hugo /compare/<a>-vs-<b>/ pages but JSON-shaped for in-loop consumption. Use after the agent has a small candidate set and needs to choose.

Part of the Auxiliar server.

compare_capabilities can modify Auxiliar 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 compare_capabilities to create or modify resources in Auxiliar. 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 compare_capabilities 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 Auxiliar.

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

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

See the full Auxiliar policy for all 13 tools.

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

Side-by-side comparison structure for 2-5 Capabilities. Returns each Capability's fields aligned in a uniform row-per-field shape — same data backing as the Hugo /compare/<a>-vs-<b>/ pages but JSON-shaped for in-loop consumption. Use after the agent has a small candidate set and needs to choose.. It is categorised as a Write tool in the Auxiliar MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on compare_capabilities? +

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

What risk level is compare_capabilities? +

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

Can I rate-limit compare_capabilities? +

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

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

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

Enforce policy on every Auxiliar tool call.

Deterministic rules across all 13 Auxiliar tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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