Low Risk

content_audit

Audit a markdown article for pre-publish quality issues: heading hierarchy, paragraph length, sentence complexity, passive voice, missing alt text, broken header order. Basic audit (counts, summary) is FREE. Full audit (per-issue line numbers, severity, fix suggestions) costs 1 credit. Returns: {...

Accepts raw HTML/template content (content)

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

AI agents call content_audit to retrieve information from Pipepost 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 content_audit 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.

io-github-mendlem-pipepost.yaml
tools:
  content_audit:
    rules:
      - action: allow

See the full Pipepost policy for all 29 tools.

Tool Name content_audit
Category Read
MCP Server Pipepost MCP Server
Risk Level Low

View all 29 tools →

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

Browse the full MCP Attack Database →

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

What does the content_audit tool do? +

Audit a markdown article for pre-publish quality issues: heading hierarchy, paragraph length, sentence complexity, passive voice, missing alt text, broken header order. Basic audit (counts, summary) is FREE. Full audit (per-issue line numbers, severity, fix suggestions) costs 1 credit. Returns: { score, word_count, reading_time_min, issues: [{ severity, line?, message, fix? }] }. Common errors: insufficient credits for full audit (PAYMENT_REQUIRED).. It is categorised as a Read tool in the Pipepost MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on content_audit? +

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

What risk level is content_audit? +

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

Can I rate-limit content_audit? +

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

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

content_audit is provided by the Pipepost MCP server (pipepost-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Pipepost

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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