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vivz-git

GTM MCP Server

by vivz-git

GTM server status

server_info
Read-onlyIdempotent

Check GTM MCP server status to determine which capabilities are implemented, whether the CRM is reachable, and if write tools are enabled. Use it before calling any data-modifying tool or after a failed write to avoid unsupported actions.

Instructions

Report which GTM capabilities this server can currently perform.

Call this first when you are unsure whether a GTM capability is available, or when a data-modifying call has failed and you need to know whether writes are disabled. It takes no arguments, reads no customer data, and changes nothing.

Returns which tools are implemented versus merely planned, whether the CRM database is reachable, and whether write tools are permitted to modify data. Do not call tools listed under planned capabilities; they are not registered and the call will fail.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionYesServer package version.
environmentYesEnvironment the server is running in.
server_nameYesConfigured name of this server.
dry_run_writesYesWhen true, write tools validate and audit but never persist changes.
database_availableYesWhether the CRM database is reachable. CRM tools fail when false.
write_tools_enabledYesWhether write tools may modify data. When false they refuse every call.
planned_capabilitiesYesGTM capabilities that are designed but not yet callable. Do not attempt to call these.
implemented_capabilitiesYesGTM capabilities that are implemented and callable right now.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds valuable context: it takes no arguments, reads no customer data, changes nothing, and returns specific status categories. There is no contradiction with annotations.

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

Conciseness5/5

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

The description is concise, front-loaded with the core purpose, and every sentence adds value. It avoids redundancy, clearly separates what the tool returns from when to use it, and is appropriately sized for the tool's simplicity.

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

Completeness5/5

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

With an output schema present, no parameters, and annotations covering safety traits, the description covers all necessary context: when to call it, what it returns, and what not to do. Nothing important is missing for an agent to invoke it correctly.

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

Parameters4/5

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

The tool has zero parameters, and the description explicitly states it takes no arguments, which is sufficient. With no parameters to document, the description does not need to add parameter semantics beyond confirming the absence of inputs.

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

Purpose5/5

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

The description states a specific verb and resource: 'Report which GTM capabilities this server can currently perform.' It clearly identifies the tool's function and is not a tautology of its name or title. Even without siblings, it is unambiguous about what the tool does.

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

Usage Guidelines5/5

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

The description explicitly tells the agent when to call this tool: first when unsure about capability availability, or after a data-modifying call fails to check whether writes are disabled. It also advises against calling tools listed under planned capabilities, providing actionable routing guidance.

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

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