create_tag

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

With no annotations provided, the description carries full burden. It discloses key traits: non-relational grouping, no credit movement, and unique tag names per workspace. However, it is silent on idempotency, error behavior (e.g., duplicate names), permissions, or side effects. This is adequate but incomplete.

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 concise (three brief sentences) and front-loaded with the core action. Every sentence provides useful information without redundancy or filler.

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 existence of an output schema and moderate complexity (4 parameters, 2 required), the description adequately covers the tool's purpose and key behavioral traits. It mentions unique names per workspace and seeding, which are important. Minor omission: no explanation of the server_version parameter. Still, it's fairly complete for an agent.

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?

Schema description coverage is 75%. The description adds value by explaining the 'seeding' concept for model_ids, which aligns with the parameter. However, it does not describe the server_version parameter or add significant meaning beyond what the schema already provides for name and description. Baseline 3 is appropriate.

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 a tag') and the resource. It explains the optional seeding with member models and provides context that tags are for grouping models without asserting relationships or moving credit. This distinguishes it from siblings like add_model_to_tag, which adds to existing tags.

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 gives explicit context on when to use (for grouping models for viewing/reporting) and clarifies what tags do not do (no relationship assertion, no credit movement). It doesn't explicitly state when not to use or list alternatives, but the behavioral description provides implicit guidance.

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