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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds meaningful context beyond them: it lists properties across all accounts, describes the row shape, and clarifies the workspace-configuration dependency. It does not mention pagination, rate limits, or failure behavior, which keeps it from a 5.

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

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

The description is front-loaded with purpose and scope, then moves to usage and parameter meaning. The per-row field enumeration is somewhat redundant with the output schema, though the note that account_id is the bare ID for ga4_create_property earns its place.

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

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

For a low-complexity discovery tool with one optional parameter, annotations, and an output schema, the description is complete: it covers scope, returned fields, workspace semantics, and how to work with a non-configured property.

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

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

Schema coverage is 0%, so the description carries the burden for the single workspace parameter. It defines workspace as the customer workspace slug and notes it is optional when only one workspace exists, but it could go further by naming list_workspaces or explaining the multi-workspace omission case explicitly.

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

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

States a specific resource and scope: all GA4 properties of the connected Google connection across all accounts, with per-row output fields. It also distinguishes itself from other ga4_* tools by calling itself a 'Reine Discovery-Liste' that is not limited to the workspace-configured property.

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

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

Explicitly says to use this as a discovery list and explains that other ga4_* tools work only with the workspace-configured property. It then gives the alternative path: specify the matching workspace or assign one via workspace_configure_source(source='ga4').

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