create_tag

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

With no annotations, the description must fully explain behavior. It mentions return value ('Returns the created tag's summary'), which is good, but omits other behavioral traits like required permissions, side effects, or error conditions. Acceptable but not thorough.

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 extremely concise with two sentences, no filler, and front-loads the core purpose. Every sentence adds value, making it efficient for an AI agent to parse.

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 has 6 parameters and an output schema, the description covers the essential behavior (creation, required field, return). However, it omits details on optional parameters and does not address potential pitfalls or advanced usage, making it minimally adequate.

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 0%, so the description must compensate. It clarifies that 'slug' is derived from 'name' if omitted, adding meaning beyond the schema. However, the remaining four parameters (meta_title, description, etc.) receive no explanation, leaving semantic gaps.

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 creates a tag, distinguishing it from sibling tools like create_label or create_post. It specifies the required resource (tag) and the minimal requirement (name only), giving precise purpose without ambiguity.

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 helpful guidance on parameter usage (only name is required, slug is derived). However, it lacks context on when to use this tool versus alternatives (e.g., create_label for labels), relying on the tool name alone for differentiation.

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