update_contact

Update fields on an existing contact.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp

Medium RISK CLASS

Category Write

Parameters 61 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/update-contact.md

WHAT IT DOES

What update_contact does on FavCRM

AI agents use update_contact to create or update resources in FavCRM, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FavCRM environment.

Parameter	Type	Required	Description
`name`	string	—	Name
`email`	string	—	Email address
`phone`	string	—	Phone number
`jobTitle`	string	—	Job title
`contactId`	string	Yes	The contact ID
`isPrimary`	boolean	—	Mark as the primary contact

Parameters from the server's own tool schema.

RISK

Why update_contact is rated Medium

This tool modifies contact information in a CRM system. While not destructive (data remains recoverable), it creates reversible changes to customer records. In a CRM context, updating contacts can affect business operations and customer communications, warranting medium severity. The confidence is high because the intent is explicit from both name and description.

From the tool's definition Tool name is 'update_contact' and description states 'Update fields on an existing contact.' The verb 'update' indicates modification of existing data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_contact safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_contact, this is the rule to start with:

update_contact Rate-limited

update_contact 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_contact": {
      "limits": [
        {
          "counter": "update_contact_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FavCRM, apply this rule, and every update_contact call is checked against it from then on.

FAQ

Questions about update_contact

What does the update_contact tool do? +

Update fields on an existing contact. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does update_contact accept? +

update_contact accepts 6 parameters: name, email, phone, jobTitle, contactId, isPrimary. Required: contactId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_contact? +

Register the FavCRM MCP server in PolicyLayer and add a rule for update_contact: 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 FavCRM. Nothing to install.

What risk level is update_contact? +

update_contact is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_contact? +

Yes. Add a rate_limit block to the update_contact 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.

How do I block update_contact completely? +

Set action: deny in the PolicyLayer policy for update_contact. 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 update_contact? +

update_contact is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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