create_tag

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states that a tag is created and a JSON object returned, which is obvious from the operation type. It omits details about error handling, idempotency, or permissions, leaving significant 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 compact, using short sections for Args, Returns, and Examples. Every line provides useful, scan-friendly information with no redundancy or fluff.

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?

The tool is simple with one required parameter, and the description covers purpose, parameter, and an example. Since an output schema exists, the Returns section is a bonus. The main omission is usage guidance, but for a straightforward create operation, the description is largely sufficient.

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 input schema already defines 'name' as a required string. The description's Args section simply restates 'The tag name' without adding constraints, naming rules, or valid value examples beyond the 'priority' example. This does not compensate for the 0% schema description coverage.

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 action ('Create') and the resource ('a new tag in AgencyAnalytics'), which distinguishes it from sibling tools like create_campaign or create_user. The example reinforces the intended function.

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 implies this tool is for creating tags when needed but provides no explicit guidance on when to choose it over alternatives or exclusions. The example shows a basic call, but there is no discussion of prerequisites or contexts where it should not be used.

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