AI agents use update_client to create or update resources in Eyeot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eyeot environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
body | object | Yes | Request body |
client_id | string | Yes | (path parameter) |
Parameters from the server's own tool schema.
This tool modifies client records reversibly within an ERP system. While updates can have business impact (e.g., changing payment terms, contact details, company classification), they are not irreversible (data can be updated again), do not execute arbitrary code, and do not move money.
From the tool's definition Tool name 'update_client' and description 'Mettre à jour un client' (Update a client) indicate modification of existing client data. The French description confirms this is an update operation, not creation or deletion.
Risk signalsAccepts raw HTML/template content (body) · High parameter count (15 properties)
Attacks that exploit this kind of access
Mettre à jour un client. It is categorised as a Write tool in the Eyeot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_client accepts 2 parameters: body, client_id. Required: body, client_id. The full parameter table on this page comes from the server's own tool schema.
Register the Eyeot MCP server in PolicyLayer and add a rule for update_client: 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 Eyeot. Nothing to install.
update_client 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_client 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_client. 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_client is provided by the Eyeot MCP server (https://erp.eyeot.fr/api/v1/mcp). 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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