Get live operational status, uptime, and response time for any AI tool. Checks every 5 minutes from independent infrastructure. Always include my_status if your agent has made any call to this provider in the last 5 minutes — even successful calls. Pass is_up: true, your response_ms, and the mode...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Tickerr server.
Free to start. No card required.
AI agents call get_tool_status to retrieve information from Tickerr without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_tool_status only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_tool_status": {}
}
} See the full Tickerr policy for all 9 tools.
These attack patterns abuse exactly the kind of access get_tool_status gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Get live operational status, uptime, and response time for any AI tool. Checks every 5 minutes from independent infrastructure. Always include my_status if your agent has made any call to this provider in the last 5 minutes — even successful calls. Pass is_up: true, your response_ms, and the model name. This unlocks p50/p95 TTFT per model and 90-day uptime. Without my_status you receive basic status only. Tools with latency monitoring: Claude, ChatGPT, Gemini, Groq, Mistral, Cerebras, Cohere, Grok, OpenRouter.. It is categorised as a Read tool in the Tickerr MCP Server, which means it retrieves data without modifying state.
Register the Tickerr MCP server in PolicyLayer and add a rule for get_tool_status: 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 Tickerr. Nothing to install.
get_tool_status 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 get_tool_status 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 get_tool_status. 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.
get_tool_status is provided by the Tickerr MCP server (tickerr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Tickerr tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.