This record as markdown: /tools/ghl/list-estimates.md
What list_estimates does on Ghl
AI agents call list_estimates to retrieve information from Ghl without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
altId | string | — | Location ID |
limit | string | Yes | Number of results per page |
offset | string | Yes | Offset for pagination |
search | string | — | Search term |
status | string | — | Filter by status |
contactId | string | — | Filter by contact ID |
Parameters from the server's own tool schema.
Why list_estimates is rated Low
This tool queries and returns estimate data without side effects. It is a straightforward read operation that retrieves existing information. Given the CRM context (GoHighLevel), the blast radius of misuse is minimal — an agent could over-query or exfiltrate estimate records, but cannot modify or delete them.
From the tool's definition Tool name is 'list_estimates' and description states 'List all estimates' — a retrieval operation with no modification or deletion.
Attacks that exploit this kind of access
The rule that runs list_estimates safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ghl, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_estimates, this is the rule to start with:
list_estimates is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every list_estimates call is checked against it from then on.
Questions about list_estimates
List all estimates. It is categorised as a Read tool in the Ghl MCP Server, which means it retrieves data without modifying state.
list_estimates accepts 6 parameters: altId, limit, offset, search, status, contactId. Required: limit, offset. The full parameter table on this page comes from the server's own tool schema.
Register the Ghl MCP server in PolicyLayer and add a rule for list_estimates: 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 Ghl. Nothing to install.
list_estimates is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_estimates 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 list_estimates. 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.
list_estimates is provided by the Ghl MCP server (ghl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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