// MCP TOOL REFERENCE

predict_content_performance

콘텐츠의 예상 성과를 AI 기반으로 예측합니다. 조회수, 참여율, 공유 가능성을 분석합니다.

Part of the Content Genie MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

// WHEN AI AGENTS USE THIS TOOL

AI agents invoke predict_content_performance to trigger processes or run actions in Content Genie. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

// WHY ENFORCE A POLICY ON PREDICT_CONTENT_PERFORMANCE

predict_content_performance can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

// RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-muse-code-space-content-genie.yaml

tools:
  predict_content_performance:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Content Genie policy for all 17 tools.

// DETAILS

Tool Name predict_content_performance

Category Execute

MCP Server Content Genie MCP Server

Risk Level High

// MORE CONTENT GENIE TOOLS

Execute benchmark_content_performance Write create_content_calendar Write generate_ab_test_variants Write generate_content_ideas Write generate_hashtag_strategy Write generate_script_outline Read analyze_competitor_content Read analyze_influencer_collab

View all 17 tools →

// WHAT CAN GO WRONG

Agents calling execute-class tools like predict_content_performance have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

// OTHER EXECUTE TOOLS ACROSS MCP SERVERS

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

Agent Passport System — Cryptographic Identity for AI Agents commerce_preflight Agent Passport System — Cryptographic Identity for AI Agents execute_with_context Agent Passport System — Cryptographic Identity for AI Agents gateway_execute_approval Agent Passport System — Cryptographic Identity for AI Agents governance_360 Agent Passport System — Cryptographic Identity for AI Agents parse_governance_block_html AgentClear — API Marketplace for AI Agents call_service

// IN CONTEXT OF HIGH RISK

predict_content_performance is one of the high-risk operations in Content Genie. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

// RELATED READING

// FAQ

What does the predict_content_performance tool do? +

콘텐츠의 예상 성과를 AI 기반으로 예측합니다. 조회수, 참여율, 공유 가능성을 분석합니다.. It is categorised as a Execute tool in the Content Genie MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on predict_content_performance? +

Add a rule in your Intercept YAML policy under the tools section for predict_content_performance. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Content Genie MCP server.

What risk level is predict_content_performance? +

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

Can I rate-limit predict_content_performance? +

Yes. Add a rate_limit block to the predict_content_performance rule in your Intercept 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 predict_content_performance completely? +

Set action: deny in the Intercept policy for predict_content_performance. 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 predict_content_performance? +

predict_content_performance is provided by the Content Genie MCP server (content-genie-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

predict_content_performance

Enforce policies on Content Genie