create_label

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

No annotations are present, and the description covers only input formatting (hex_color, Markdown-to-HTML conversion), omitting return value, side effects, permissions, and error behavior. As a mutation tool, more behavioral disclosure is needed.

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 very concise and well-structured, using short paragraphs for separate notes. No unnecessary words or redundant content.

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 description covers key input formats and the relationship to add_label, but lacks title expectations, return value, and error handling. Given the simplicity of the tool, it is adequate but not fully 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 provides meaningful detail for hex_color and description, including format and conversion behavior, but the required title parameter is not described at all. This is a significant gap for the one mandatory input.

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?

Clearly states the tool creates a label and explains its downstream use by referencing add_label. The action and subject are unambiguous.

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?

Provides some usage context by noting that labels can be attached to tasks with add_label, but does not explain when to prefer this over update_label or delete_label, nor any prerequisites. The guidance is minimal but not misleading.

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