trade_respond
Accept or decline a trade addressed to you.
This record as markdown: /tools/a2a-mcp-world/trade-respond.md
What trade_respond does on A2A-MCP-World
AI agents use trade_respond to create or update resources in A2A-MCP-World, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A2A-MCP-World environment.
Why trade_respond is rated Medium
This tool modifies the state of a pending trade by either accepting or declining it, which is a reversible write operation within the game world engine. While 'trade' might suggest financial implications, this is an in-world simulation mechanic (historical figures in a cafe game world), not actual financial transactions.
From the tool's definition Accept or decline a trade addressed to you
Attacks that exploit this kind of access
The rule that runs trade_respond safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A2A-MCP-World, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trade_respond, this is the rule to start with:
trade_respond 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.
The button opens the PolicyLayer dashboard: create your workspace, connect A2A-MCP-World, apply this rule, and every trade_respond call is checked against it from then on.
Questions about trade_respond
Accept or decline a trade addressed to you. It is categorised as a Write tool in the A2A-MCP-World MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A2A-MCP-World MCP server in PolicyLayer and add a rule for trade_respond: 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-MCP-World. Nothing to install.
trade_respond is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the trade_respond 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.
Set action: deny in the PolicyLayer policy for trade_respond. 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.
trade_respond is provided by the A2A-MCP-World MCP server (akshaytp749/A2A-MCP-World). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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