create_recruiting_opinion

Create a Recruiting opinion on one review. Increments the OPE sequence, attaches to the review opinions collection, and stores markdown description as Huly markup.

SERVERHuly SOURCE@firfi/huly-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dearlordylord-huly-mcp/create-recruiting-opinion.md

WHAT IT DOES

What create_recruiting_opinion does on Huly

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

RISK

Why create_recruiting_opinion is rated Medium

The tool creates new data (a recruiting opinion) and modifies related collections (attaches to review opinions), which are reversible write operations. It increments a sequence counter and stores content, but does not delete, destroy, execute arbitrary commands, or move money. The sibling tools (add_activity_reply, add_comment, add_attachment, etc.) all follow a Write pattern.

From the tool's definition Tool description explicitly states 'Create a Recruiting opinion' and 'attaches to the review opinions collection', indicating creation and attachment of data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_recruiting_opinion safely

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

create_recruiting_opinion Rate-limited

create_recruiting_opinion 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": {
    "create_recruiting_opinion": {
      "limits": [
        {
          "counter": "create_recruiting_opinion_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 Huly, apply this rule, and every create_recruiting_opinion call is checked against it from then on.

FAQ

Questions about create_recruiting_opinion

What does the create_recruiting_opinion tool do? +

Create a Recruiting opinion on one review. Increments the OPE sequence, attaches to the review opinions collection, and stores markdown description as Huly markup. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_recruiting_opinion? +

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

What risk level is create_recruiting_opinion? +

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

Can I rate-limit create_recruiting_opinion? +

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

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

create_recruiting_opinion is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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