Set this project’s default account/folder

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

Despite having no annotations, the description discloses the important side effect: writing to `.gdocs-mcp.json` in the current working directory or updating an existing file up the tree. It also clarifies that these are defaults for new docs, which adds meaningful behavioral context beyond the schema.

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?

Three concise sentences with key information front-loaded. The first sentence captures the core behavior, and the follow-ups add useful parameter semantics without redundancy.

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 simple two-parameter tool, the description covers the main side-effect, file location, scope, and folder-id resolution workflow. It does not explicitly say what happens to existing defaults when a parameter is omitted, but overall completeness is good.

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?

While the schema already documents both parameters at 100% coverage, the description adds valuable semantics: folder can be a URL or id, and account must be an authorized Google account email. The folder-by-name workaround also adds practical parameter guidance.

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 states that the tool writes project defaults to a `.gdocs-mcp.json` file, with a default account and/or folder for new docs. This distinguishes it from sibling tools like `get_project_config` and other set-style tools.

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?

It explains when the defaults apply (new docs), and gives concrete workaround for setting a folder by name via `drive({ cmd: 'find' })` and passing its id. It does not explicitly mention when to avoid using this tool or name alternatives, but the use case is clear.

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