add_reaction

Add emoji reaction to a message.

Server ZulipChat MCP Server pypi:zulipchat-mcp
Category Write
Risk class Medium
Parameters 00 required

What add_reaction does on ZulipChat MCP Server

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

Why add_reaction needs a policy

An AI agent can call add_reaction faster than any human can review — one bad instruction and it creates or modifies resources in ZulipChat MCP Server by the hundred, each call as confident as the last.

Questions about add_reaction

What does the add_reaction tool do? +

Add emoji reaction to a message. It is categorised as a Write tool in the ZulipChat MCP Server 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_reaction? +

Register the ZulipChat MCP Server MCP server in PolicyLayer and add a rule for add_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 ZulipChat MCP Server. Nothing to install.

What risk level is add_reaction? +

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

Can I rate-limit add_reaction? +

Yes. Add a rate_limit block to the add_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 add_reaction completely? +

Set action: deny in the PolicyLayer policy for add_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 add_reaction? +

add_reaction is provided by the ZulipChat MCP Server MCP server (pypi:zulipchat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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