add_comment

Add a public reply or internal note to an existing ticket.

Server Zendesk kalchevs/zendesk-mcp
Category Write
Risk class Medium
Parameters 00 required

What add_comment does on Zendesk

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

Why add_comment needs a policy

The tool creates new data (comments/notes) within an existing ticket record. This is reversible (comments can typically be edited or deleted by administrators) and has side effects limited to the ticket's communication thread. It does not delete data (Destructive), execute arbitrary code (Execute), move money (Financial), or merely retrieve data (Read).

From the tool's definition 'Add a public reply or internal note to an existing ticket' - this modifies ticket state by appending communication that is stored persistently in Zendesk.

Questions about add_comment

What does the add_comment tool do? +

Add a public reply or internal note to an existing ticket. It is categorised as a Write tool in the Zendesk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_comment? +

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

What risk level is add_comment? +

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

Can I rate-limit add_comment? +

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

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

add_comment is provided by the Zendesk MCP server (kalchevs/zendesk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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