This record as markdown: /tools/com-zype-mcp-server/update-consumer.md
What update_consumer does on Zype Com
AI agents use update_consumer to create or update resources in Zype Com, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Zype Com environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | New name |
email | string | — | New email |
password | string | — | New password |
consumer_id | string | Yes | The consumer ID (required) |
Parameters from the server's own tool schema.
Why update_consumer is rated Medium
An AI agent can call update_consumer faster than any human can review: one bad instruction and it creates or modifies resources in Zype Com by the hundred, each call as confident as the last.
Risk signalsHandles credentials or secrets (password)
Attacks that exploit this kind of access
The rule that runs update_consumer safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Zype Com, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_consumer, this is the rule to start with:
update_consumer stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Zype Com, apply this rule, and every update_consumer call is checked against it from then on.
Questions about update_consumer
Update a consumer's email, name, or password. It is categorised as a Write tool in the Zype Com MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_consumer accepts 4 parameters: name, email, password, consumer_id. Required: consumer_id. The full parameter table on this page comes from the server's own tool schema.
Register the Zype Com MCP server in PolicyLayer and add a rule for update_consumer: 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 Zype Com. Nothing to install.
update_consumer 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_consumer 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_consumer. 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_consumer is provided by the Zype Com MCP server (zype/zype-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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