registry_favorite

SERVERRokha SOURCEhttps://rokha.ai/mcp/jsonrpc

Medium RISK CLASS

Category Write

Parameters 32 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-rokha-rokha/registry-favorite.md

WHAT IT DOES

What registry_favorite does on Rokha

AI agents use registry_favorite to create or update resources in Rokha, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rokha environment.

Parameter	Type	Required	Description
`remove`	boolean	—	true to unsave (default false = save)
`external_id`	string	Yes	the listing's external_id
`provider_id`	string	Yes	the listing's provider (e.g. 'rokha', 'clawhub')

Parameters from the server's own tool schema.

RISK

Why registry_favorite is rated Medium

Creates or removes a favorites pointer; reversible, no destructive or financial impact.

From the tool's definition Save any registry listing to your Favorites; remove:true to unsave

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs registry_favorite safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For registry_favorite, this is the rule to start with:

registry_favorite Rate-limited

registry_favorite stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "registry_favorite": {
      "limits": [
        {
          "counter": "registry_favorite_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Rokha, apply this rule, and every registry_favorite call is checked against it from then on.

FAQ

Questions about registry_favorite

What does the registry_favorite tool do? +

Save any registry listing (skill / harness / rig) you didn't author to your Favorites, to find and run later. A favorite is a POINTER (find provider_id + external_id via registry_search); running or scheduling it adopts a runner-owned copy on demand. Pass remove:true to unsave. Requires Authorization: Bearer <JWT>. It is categorised as a Write tool in the Rokha MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does registry_favorite accept? +

registry_favorite accepts 3 parameters: remove, external_id, provider_id. Required: external_id, provider_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on registry_favorite? +

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

What risk level is registry_favorite? +

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

Can I rate-limit registry_favorite? +

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

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

registry_favorite is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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