Low Risk

contentrain_validate

Validate project content against model schemas. Detects required field violations, type mismatches, broken relations, secret leaks, i18n parity issues, and more. If fix:true, auto-fixes structural issues (canonical sort, orphan meta, missing locale files) — do NOT manually edit .contentrain/ files.

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

AI agents call contentrain_validate to retrieve information from Contentrain 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 contentrain_validate 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-contentrain-contentrain.yaml
tools:
  contentrain_validate:
    rules:
      - action: allow

See the full Contentrain policy for all 15 tools.

Tool Name contentrain_validate
Category Read
Risk Level Low

View all 15 tools →

Agents calling read-class tools like contentrain_validate 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 contentrain_validate tool do? +

Validate project content against model schemas. Detects required field violations, type mismatches, broken relations, secret leaks, i18n parity issues, and more. If fix:true, auto-fixes structural issues (canonical sort, orphan meta, missing locale files) — do NOT manually edit .contentrain/ files.. It is categorised as a Read tool in the Contentrain MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on contentrain_validate? +

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

What risk level is contentrain_validate? +

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

Can I rate-limit contentrain_validate? +

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

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

contentrain_validate is provided by the Contentrain MCP server (@contentrain/mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Contentrain

Open source. One binary. Zero dependencies.

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

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