New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

check_ai_content

Diagnostic: scores how generic/templated a piece of text reads and returns an analysis of which passages feel machine-written. Use it to find weak writing for a human to revise — not as a target to optimise against by re-running humanize_text until the score drops.

SERVERPostking Mcp SOURCEpostking-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-bitsandtea-postking-mcp/check-ai-content.md

What check_ai_content does on Postking Mcp

AI agents call check_ai_content to retrieve information from Postking Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why check_ai_content is rated Low

Tool analyzes content and returns scoring/analysis only; produces no side effects or data modifications.

From the tool's definition scores text, returns analysis, diagnostic tool, no modifications

Questions about check_ai_content

What does the check_ai_content tool do? +

Diagnostic: scores how generic/templated a piece of text reads and returns an analysis of which passages feel machine-written. Use it to find weak writing for a human to revise — not as a target to optimise against by re-running humanize_text until the score drops. It is categorised as a Read tool in the Postking Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_ai_content? +

Register the Postking MCP server in PolicyLayer and add a rule for check_ai_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 Postking Mcp. Nothing to install.

What risk level is check_ai_content? +

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

Can I rate-limit check_ai_content? +

Yes. Add a rate_limit block to the check_ai_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 check_ai_content completely? +

Set action: deny in the PolicyLayer policy for check_ai_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 check_ai_content? +

check_ai_content is provided by the Postking MCP server (postking-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Postking, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Postking's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.