get_workspace_overview

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

The annotations already declare readOnlyHint=true, which covers safety expectations. The description adds context about the scope of the overview (what data is included), but does not disclose additional behavioral traits such as return format or potential limitations.

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 a single, concise sentence that directly enumerates the tool's output components with no filler or repetition. Every word adds value, making it appropriately sized and front-loaded.

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?

Given no output schema, the description lists the key return components (name, brand, counts, competitors, latest window), which covers the essentials for an overview. However, it does not elaborate on the structure or types of these fields, but for a no-param read-only overview, this is reasonably complete.

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?

With zero parameters and 100% schema coverage (empty object), there is no parameter information needed. The baseline for no-parameter tools is 4, and the description adds no irrelevant parameter details.

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?

The description clearly lists the resource and its contents (workspace name, target brand, counts, competitors, latest measurement window), and the name 'get_workspace_overview' implies a retrieval action. It distinguishes itself from sibling list tools by presenting a composite overview rather than a singular list.

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?

There is no explicit guidance on when to use this tool versus alternatives like list_prompts or get_visibility_overview. The 'overview' term implies a high-level summary use case, but no clear context or exclusions are provided.

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