Medium Risk

resolve_handle

Convert a Bluesky handle to its DID (decentralized identifier). Returns the DID for programmatic account lookups.

Part of the Uluesky server.

resolve_handle can modify Uluesky 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 resolve_handle to create or modify resources in Uluesky. 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 resolve_handle 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 Uluesky.

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

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

See the full Uluesky policy for all 28 tools.

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

Convert a Bluesky handle to its DID (decentralized identifier). Returns the DID for programmatic account lookups.. It is categorised as a Write tool in the Uluesky MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_handle? +

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

What risk level is resolve_handle? +

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

Can I rate-limit resolve_handle? +

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

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

resolve_handle is provided by the Uluesky MCP server (https://gateway.pipeworx.io/bluesky/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Uluesky tool call.

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

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