Update an existing content type. The handler will merge your field updates with existing content type data, so you only need to provide the fields and properties you want to change.
AI agents use update_content_type to create or update resources in Contentful MCP Remote Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Contentful MCP Remote Server environment.
This tool modifies existing content type definitions in Contentful, which affects the structure of all content using that type. While changes are theoretically reversible (can be updated again), they impact the data model and may break dependent content or applications.
From the tool's definition Tool description states it 'Update[s] an existing content type' and 'merge[s] your field updates with existing content type data'. The 'update' operation modifies content schema in a content management system.
Attacks that exploit this kind of access
Update an existing content type. The handler will merge your field updates with existing content type data, so you only need to provide the fields and properties you want to change. It is categorised as a Write tool in the Contentful MCP Remote Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Contentful MCP Remote Server MCP server in PolicyLayer and add a rule for update_content_type: 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 Contentful MCP Remote Server. Nothing to install.
update_content_type is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_content_type 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.
Set action: deny in the PolicyLayer policy for update_content_type. 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.
update_content_type is provided by the Contentful MCP Remote Server MCP server (renzoqcad/contentful-express-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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