chat_result

A write tool on the A2a Cloud MCP server.

SERVERA2a Cloud SOURCErobGetsTheJobDone/a2a-cloud

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/a2a-cloud/chat-result.md

WHAT IT DOES

What chat_result does on A2a Cloud

AI agents use chat_result to create or update resources in A2a Cloud, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A2a Cloud environment.

RISK

Why chat_result is rated Medium

An AI agent can call chat_result faster than any human can review: one bad instruction and it creates or modifies resources in A2a Cloud by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs chat_result safely

PolicyLayer is an MCP gateway: it sits between your AI agents and A2a Cloud, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For chat_result, this is the rule to start with:

chat_result Rate-limited

chat_result 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": {
    "chat_result": {
      "limits": [
        {
          "counter": "chat_result_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 A2a Cloud, apply this rule, and every chat_result call is checked against it from then on.

FAQ

Questions about chat_result

What does the chat_result tool do? +

chat_result is a write tool on the A2a Cloud MCP server. It is categorised as a Write tool in the A2a Cloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on chat_result? +

Register the A2a Cloud MCP server in PolicyLayer and add a rule for chat_result: 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 A2a Cloud. Nothing to install.

What risk level is chat_result? +

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

Can I rate-limit chat_result? +

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

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

chat_result is provided by the A2a Cloud MCP server (robGetsTheJobDone/a2a-cloud). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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