Low Risk

get_rate_limits

Get rate limits and plan details for any AI tool - requests per minute, tokens per day, context window, and more by plan tier.

Part of the Tickerr server.

get_rate_limits is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_rate_limits 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_rate_limits 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_rate_limits": {}
  }
}

See the full Tickerr policy for all 9 tools.

Get this rule live on your own Tickerr server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_rate_limits gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_rate_limits only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_rate_limits tool do? +

Get rate limits and plan details for any AI tool - requests per minute, tokens per day, context window, and more by plan tier.. It is categorised as a Read tool in the Tickerr MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_rate_limits? +

Register the Tickerr MCP server in PolicyLayer and add a rule for get_rate_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 Tickerr. Nothing to install.

What risk level is get_rate_limits? +

get_rate_limits is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_rate_limits? +

Yes. Add a rate_limit block to the get_rate_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.

How do I block get_rate_limits completely? +

Set action: deny in the PolicyLayer policy for get_rate_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.

What MCP server provides get_rate_limits? +

get_rate_limits 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.

Enforce policy on every Tickerr tool call.

Deterministic rules across all 9 Tickerr tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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