manage_gmail_label

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it mentions the three operations (create, update, delete), it doesn't describe what happens during these operations: whether they require specific permissions, if deletions are permanent, what validation occurs, or error conditions. For a mutation tool with 7 parameters, this leaves significant behavioral gaps.

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 well-structured with clear sections (Args, Returns) and efficiently communicates essential information. Every sentence earns its place, though the opening statement could be slightly more specific about the tool's scope. The parameter explanations are comprehensive without being verbose.

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 the tool's complexity (7 parameters, 3 operations) and lack of both annotations and output schema, the description does an adequate job but has clear gaps. The parameter documentation is excellent, but behavioral aspects (permissions, side effects, error handling) and return value details are insufficiently covered for a mutation tool with multiple operations.

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 provides excellent parameter semantics despite 0% schema description coverage. It clearly explains each parameter's purpose, requirements, and constraints: which parameters are required for which actions, optionality conditions, and the meaning of enum values. This fully compensates for the lack of schema descriptions and adds substantial value beyond the bare schema.

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 the tool's purpose: 'Manages Gmail labels: create, update, or delete labels.' This specifies the verb (manage) and resource (Gmail labels) with the three specific operations. However, it doesn't differentiate from sibling tools like 'list_gmail_labels' or 'modify_gmail_message_labels' which handle related but distinct Gmail operations.

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 provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, when to choose create vs update vs delete, or how this differs from sibling tools like 'list_gmail_labels' or 'modify_gmail_message_labels'. The agent must infer usage from the parameter descriptions alone.

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