Skip to main content
Glama

HighLevel Agency & Builder MCP

Run HighLevel Agency Doctor Audit

ghl_agency_doctor
Read-onlyIdempotent

Verify HighLevel agency Private Integration Token (PIT), CRM session, company, and seed location readiness. Example: ghl_agency_doctor({"context":"moosh-growth"})

Input Schema

NameRequiredDescriptionDefault
companyNoOptional HighLevel company ID.
contextNoTarget HighLevel agency context.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the agent knows this is a safe, repeatable, non-mutating check. The description adds the useful scope detail that it checks four distinct things, but says nothing about what a failing check looks like or how results are reported. Adequate but thin beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the verification scope, followed by a compact example that costs little space. Nothing is wasted, though the example largely restates the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only audit tool with only two optional parameters this is close to sufficient, but with no output schema the description never indicates what the audit returns or how failures surface. An agent knows how to call it but not what to expect back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the enum values are already enumerated in the schema, so both parameters are fully documented structurally. The example call usefully shows that 'context' is the primary selector, but the description adds no meaning about how 'company' interacts with 'context' or whether it narrows the audit scope.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb ("Verify") and enumerates exactly what is checked: PIT, CRM session, company, and seed location readiness. That is far more concrete than the title alone. It does not, however, distinguish itself from the closest sibling, ghl_agency_connection_health, which sounds like an overlapping readiness check.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to run this audit, when to prefer it over ghl_agency_connection_health, or what prerequisites must hold first. The only guidance is a sample invocation, which shows call shape rather than usage conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.