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Honeyfield Marketing MCP

Tag Manager: List workspaces

gtm_list_workspaces
Read-only

Alle Workspaces des Containers (Default + ggf. Dev-Branches). workspace: Slug des Kunden-Workspace (optional bei nur einem Workspace).

Input Schema

NameRequiredDescriptionDefault
workspaceNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered structurally. The description adds that the result includes Default plus optionally dev branches, which is real added context, but says nothing about permissions, pagination, or how the container is resolved (no container parameter exists).

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 compact sentences, the scope statement front-loaded before the parameter note; nothing is padded. Minor friction from abbreviations like 'ggf.' and the language switch, but no wasted content.

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?

An output schema exists, so return values need no explanation, and the single parameter is explained. The notable gap is that the container being listed is never stated as a parameter or an ambient input, leaving the agent unsure what scoping context the call relies on.

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?

Schema description coverage is 0%, so the description must carry the load, and it does: it identifies the parameter as a customer workspace slug and states the condition under which it can be omitted. Only the slug format and valid values remain undocumented.

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 names the resource and scope precisely: all workspaces of the container, including Default and any dev branches. That is enough to distinguish it from gtm_list_containers or gtm_list_accounts, even though the phrasing is a noun phrase rather than an explicit verb and is written in German while the tool names are English.

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

Usage Guidelines3/5

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

It gives one concrete usage rule – the workspace slug is optional when only a single workspace exists – which tells the agent how to call it in the common case. It never says when to prefer this over gtm_container_info or gtm_workspace_status, and offers no explicit exclusions.

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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