Low Risk

find_low_competition_keywords

Find keywords with low competition and good opportunity scores

How to control find_low_competition_keywords ↓

What find_low_competition_keywords does on Astro MCP Server

AI agents call find_low_competition_keywords to retrieve information from Astro MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why find_low_competition_keywords needs a policy

This tool retrieves and analyzes keyword metrics from an ASO database to identify opportunities based on competition levels and opportunity scores. It is a read-only query operation with no side effects, reversible modifications, code execution, financial impact, or destructive capability.

From the tool's definition Tool name 'find_low_competition_keywords' and description 'Find keywords with low competition and good opportunity scores' indicate a pure data retrieval operation that queries and analyzes existing ASO database metrics without modifying, deleting, or…

Documented attack patterns abuse exactly the kind of access find_low_competition_keywords gives an agent:

How to control find_low_competition_keywords

PolicyLayer is an MCP gateway — it sits between your AI agents and Astro MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for find_low_competition_keywords:

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

find_low_competition_keywords is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Astro MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about find_low_competition_keywords

What does the find_low_competition_keywords tool do? +

Find keywords with low competition and good opportunity scores. It is categorised as a Read tool in the Astro MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_low_competition_keywords? +

Register the Astro MCP Server MCP server in PolicyLayer and add a rule for find_low_competition_keywords: 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 Astro MCP Server. Nothing to install.

What risk level is find_low_competition_keywords? +

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

Can I rate-limit find_low_competition_keywords? +

Yes. Add a rate_limit block to the find_low_competition_keywords 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 find_low_competition_keywords completely? +

Set action: deny in the PolicyLayer policy for find_low_competition_keywords. 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 find_low_competition_keywords? +

find_low_competition_keywords is provided by the Astro MCP Server MCP server (timbroddin/astro-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Astro MCP Server tool call.

Start from Astro MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

15 Astro MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.