Log in to COROS Training Hub. Stores auth token for subsequent calls. Also checks COROS_EMAIL/COROS_PASSWORD env vars for auto-login. WARNING: Logging in via API invalidates the web app session.
AI agents invoke authenticate_coros to trigger actions in Coros Workout. 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 external authentication operation that stores credentials/tokens and has a destructive side effect (invalidating the existing web session). It triggers an external operation with irreversible consequences for the current session, placing it in Execute. The session invalidation side effect elevates severity to high.
From the tool's definition 'Log in to COROS Training Hub. Stores auth token for subsequent calls' and 'WARNING: Logging in via API invalidates the web app session.'
Documented attack patterns abuse exactly the kind of access authenticate_coros gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Coros Workout, and nothing reaches the server without passing your rules. This is the rule we recommend for authenticate_coros:
{
"version": "1",
"default": "deny",
"tools": {
"authenticate_coros": {
"limits": [
{
"counter": "authenticate_coros_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} authenticate_coros 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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Log in to COROS Training Hub. Stores auth token for subsequent calls. Also checks COROS_EMAIL/COROS_PASSWORD env vars for auto-login. WARNING: Logging in via API invalidates the web app session. It is categorised as a Execute tool in the Coros Workout MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Coros Workout MCP server in PolicyLayer and add a rule for authenticate_coros: 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 Coros Workout. Nothing to install.
authenticate_coros 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 authenticate_coros 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 authenticate_coros. 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.
authenticate_coros is provided by the Coros Workout MCP server (rowlando/coros-workout-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Coros Workout, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Coros Workout tools catalogued and risk-classified — across an index of 43,000+ MCP servers.