Low Risk

analyze_service

See how any service stacks up — competitors, revenue, ranking, and what to do next. Accepts a service ID, domain name, or URL.

Risk signalsAccepts freeform code/query input (query)

Part of the Valoria server.

analyze_service 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 analyze_service to retrieve information from Valoria 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 analyze_service 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": {
    "analyze_service": {}
  }
}

See the full Valoria policy for all 6 tools.

Get this rule live on your own Valoria 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 analyze_service 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 analyze_service 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 analyze_service tool do? +

See how any service stacks up — competitors, revenue, ranking, and what to do next. Accepts a service ID, domain name, or URL.. It is categorised as a Read tool in the Valoria MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_service? +

Register the Valoria MCP server in PolicyLayer and add a rule for analyze_service: 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 Valoria. Nothing to install.

What risk level is analyze_service? +

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

Can I rate-limit analyze_service? +

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

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

analyze_service is provided by the Valoria MCP server (valoria/x402). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Valoria tool call.

Deterministic rules across all 6 Valoria 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.

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