create_work_item_emoji_reaction

Add an emoji reaction to a work item (e.g. thumbsup, rocket, eyes)

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

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-zereight-gitlab-mcp/create-work-item-emoji-reaction.md

WHAT IT DOES

What create_work_item_emoji_reaction does on Gitlab Mcp

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

RISK

Why create_work_item_emoji_reaction is rated Medium

This tool modifies data (adds a reaction) but the modification is reversible (emoji reactions can be removed) and has minimal blast radius. It does not delete data, execute code, or affect finances. It fits the Write category as a low-severity content modification.

From the tool's definition Tool creates/adds an emoji reaction to a work item, which modifies the work item's state by appending a new reaction. The description explicitly states 'Add an emoji reaction', indicating a create operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_work_item_emoji_reaction safely

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

create_work_item_emoji_reaction Rate-limited

create_work_item_emoji_reaction 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_work_item_emoji_reaction": {
      "limits": [
        {
          "counter": "create_work_item_emoji_reaction_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 Gitlab Mcp, apply this rule, and every create_work_item_emoji_reaction call is checked against it from then on.

FAQ

Questions about create_work_item_emoji_reaction

What does the create_work_item_emoji_reaction tool do? +

Add an emoji reaction to a work item (e.g. thumbsup, rocket, eyes). It is categorised as a Write tool in the Gitlab Mcp 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_work_item_emoji_reaction? +

Register the Gitlab MCP server in PolicyLayer and add a rule for create_work_item_emoji_reaction: 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 Gitlab Mcp. Nothing to install.

What risk level is create_work_item_emoji_reaction? +

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

Can I rate-limit create_work_item_emoji_reaction? +

Yes. Add a rate_limit block to the create_work_item_emoji_reaction 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_work_item_emoji_reaction completely? +

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

create_work_item_emoji_reaction is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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