Exchange an authorization code for a seller access token (marketplace onboarding). Also supports refresh_token grant.
AI agents invoke oauth_token_exchange to trigger actions in Mcp Ap2. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs an OAuth token exchange, which is an external authentication operation that produces access tokens and refresh tokens. While it doesn't directly move money, it grants access credentials that could be used to authorize financial or destructive operations on behalf of a seller.
From the tool's definition Exchange an authorization code for a seller access token (marketplace onboarding). Also supports refresh_token grant.
Documented attack patterns abuse exactly the kind of access oauth_token_exchange gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Ap2, and nothing reaches the server without passing your rules. This is the rule we recommend for oauth_token_exchange:
{
"version": "1",
"default": "deny",
"tools": {
"oauth_token_exchange": {
"limits": [
{
"counter": "oauth_token_exchange_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} oauth_token_exchange stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Exchange an authorization code for a seller access token (marketplace onboarding). Also supports refresh_token grant. It is categorised as a Execute tool in the Mcp Ap2 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Ap2 MCP server in PolicyLayer and add a rule for oauth_token_exchange: 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 Mcp Ap2. Nothing to install.
oauth_token_exchange is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the oauth_token_exchange 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 oauth_token_exchange. 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.
oauth_token_exchange is provided by the Mcp Ap2 MCP server (@codespar/mcp-ap2). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Ap2, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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