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

Annotations already declare readOnlyHint=true, so the safety profile is covered by structured data. The description adds that the payload contains only name and color, but says nothing about ordering, volume, or pagination for what could be a long label list.

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?

Three terse fragments with the scope statement front-loaded and no filler. The trailing 'GET /labels' endpoint note is marginally redundant but cheap and useful for API mapping.

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?

For a zero-param, read-only list tool with no output schema, the description supplies the essential missing piece — what fields are returned — and points at the consumer tool. It stops short of describing ordering or size characteristics.

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 tool takes zero parameters, so the baseline is 4. There is nothing for the description to disambiguate and it correctly makes no false claims about filtering options.

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?

States a specific verb+resource ('list labels') and enumerates exactly what comes back ('name and color'), which distinguishes it from sibling list tools such as supportbee_list_users or supportbee_list_teams.

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?

It routes the agent explicitly: use the returned label name with supportbee_add_label or with the label filter. That is clear context and a named downstream consumer, though it never states when this tool should not be used (e.g. a lookup by name alternative does not exist here).

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