batch_modify_gmail_message_labels

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

No annotations exist, so the description carries full burden. It discloses that the tool modifies messages (dry_run prevents mutation) and returns a confirmation string. It does not mention authorization needs, rate limits, or thread implications, but the core behavior is adequately described.

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 structured as a Python docstring with a one-line summary followed by Args and Returns sections. It is concise, front-loads the purpose, and contains no unnecessary words.

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 and 5 parameters, the description covers inputs well and notes a confirmation string return. It lacks details on error handling, partial failures, or quotas, but for a batch mutation tool, it 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?

The description explains all five parameters beyond the schema: user_google_email ('The user's Google email address'), message_ids ('list of message IDs'), and dry_run ('preview batch label changes without mutating messages'). Schema coverage is only 40%, but the description compensates fully.

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: 'Adds or removes labels from multiple Gmail messages in a single batch request.' It specifies the action (adds/removes), resource (labels on Gmail messages), and batch scope, distinguishing it from sibling tools like manage_gmail_label (label CRUD) and modify_gmail_message_labels (likely single message).

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?

The description mentions a dry_run parameter to preview changes without mutation, providing a safety guideline. However, it does not explicitly state when to use this batch tool over alternatives like modify_gmail_message_labels for single messages, nor does it provide exclusions or prerequisites.

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