ai_analyze

Analyze content using AI models

SERVERPercepta MCP Server SOURCE0x-hewm/percepta-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/0x-hewm-percepta-mcp/ai-analyze.md

WHAT IT DOES

What ai_analyze does on Percepta MCP Server

AI agents invoke ai_analyze to trigger actions in Percepta 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.

RISK

Why ai_analyze is rated High

This tool invokes external AI model processing, which constitutes running an external operation. While it appears read-like in intent (analysis), it executes calls to external AI providers (OpenAI, Anthropic, Google, Ollama as noted in server description), which may have usage costs, rate limits, and side effects depending on arguments. It is more than a simple read since it triggers external computation.

From the tool's definition 'Analyze content using AI models' — triggers execution of external AI model inference with arbitrary content as input

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_analyze safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Percepta MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_analyze, this is the rule to start with:

ai_analyze Rate-limited

ai_analyze 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": {
    "ai_analyze": {
      "limits": [
        {
          "counter": "ai_analyze_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Percepta MCP Server, apply this rule, and every ai_analyze call is checked against it from then on.

FAQ

Questions about ai_analyze

What does the ai_analyze tool do? +

Analyze content using AI models. It is categorised as a Execute tool in the Percepta 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 ai_analyze? +

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

What risk level is ai_analyze? +

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

Can I rate-limit ai_analyze? +

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

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

ai_analyze is provided by the Percepta MCP Server MCP server (0x-hewm/percepta-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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