analyze_content · Spider MCP Server MCP: Risk & Policy

WHAT IT DOES

What analyze_content does on Spider MCP Server

AI agents invoke analyze_content to trigger actions in Spider MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why analyze_content needs a policy

This tool executes an LLM-powered analysis process, which constitutes an external operation/computation rather than a simple data read. While it reads cached page data as input, its primary action is triggering an LLM inference operation with variable outputs depending on arguments. It does not write, delete, or move money, making Execute the most appropriate category.

From the tool's definition 'Perform LLM-powered analysis' — triggers an external LLM operation whose effects depend on the content and arguments provided

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_content Rate-limited

analyze_content stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "analyze_content": {
      "limits": [
        {
          "counter": "analyze_content_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Spider MCP Server, so you can run agents against it safely.

FAQ

Questions about analyze_content

What does the analyze_content tool do? +

Perform LLM-powered analysis on a specific cached page. It is categorised as a Execute tool in the Spider MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_content? +

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

What risk level is analyze_content? +

analyze_content is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit analyze_content? +

Yes. Add a rate_limit block to the analyze_content 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_content completely? +

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

analyze_content is provided by the Spider MCP Server MCP server (oeo/spider-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.