Low Risk

analyze_attributes

Analyze PHP 8 attribute usage across a Stellify project. Useful for auditing, finding missing attributes, and searching attribute values. Three modes: 1. usage (default): List all attributes used in the project with counts - Optional: file_type to filter (e.g.,

Part of the Stellify server.

analyze_attributes 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_attributes to retrieve information from Stellify 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_attributes 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_attributes": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so analyze_attributes 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_attributes tool do? +

Analyze PHP 8 attribute usage across a Stellify project. Useful for auditing, finding missing attributes, and searching attribute values. Three modes: 1. usage (default): List all attributes used in the project with counts - Optional: file_type to filter (e.g.,. It is categorised as a Read tool in the Stellify MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_attributes? +

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

What risk level is analyze_attributes? +

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

Can I rate-limit analyze_attributes? +

Yes. Add a rate_limit block to the analyze_attributes 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_attributes completely? +

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

analyze_attributes is provided by the Stellify MCP server (Stellify-Software-Ltd/stellify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Stellify tool call.

Deterministic rules across all 50 Stellify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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