Check the async request quota: how many concurrent async operations are allowed and how many are currently in use. Call this before triggering a large number of async exports to avoid hitting rate limits. (GET /api2/v1/async/status)
AI agents call tms_get_async_limits to retrieve information from Phrase without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query against the Phrase API's async status endpoint. It retrieves quota information without modifying, executing operations, or causing destructive changes. The low severity reflects that misuse would only expose usage metrics, with no blast radius for unintended operations.
From the tool's definition Tool description states it "Check[s] the async request quota" and "how many concurrent async operations are allowed and how many are currently in use" — purely informational retrieval via GET endpoint with no side effects.
Attacks that exploit this kind of access
Check the async request quota: how many concurrent async operations are allowed and how many are currently in use. Call this before triggering a large number of async exports to avoid hitting rate limits. (GET /api2/v1/async/status). It is categorised as a Read tool in the Phrase MCP Server, which means it retrieves data without modifying state.
Register the Phrase MCP server in PolicyLayer and add a rule for tms_get_async_limits: 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 Phrase. Nothing to install.
tms_get_async_limits is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tms_get_async_limits 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 tms_get_async_limits. 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.
tms_get_async_limits is provided by the Phrase MCP server (phrase-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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