label_get

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

No annotations are provided, so the description must carry the full behavioral disclosure burden. It implies a read operation through "current" and "before editing," but does not explicitly state that it is read-only, has no side effects, or what happens if the label ID is invalid.

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 a single, front-loaded sentence with no wasted language. It states the use condition and the data obtained immediately.

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 simple one-parameter retrieval tool with a fully documented schema and no output schema, the description is largely complete. It lists the main fields returned, though it could mention error behavior or explicitly confirm read-only semantics.

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 coverage is 100%, and the sole labelId parameter is already documented in the schema as a required Trello label id. The description does not add parameter-level detail, but the schema does the necessary work.

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 identifies a retrieval operation for a specific Trello label and names the key fields returned: current name, color, or board. It distinguishes itself from editing tools by framing the use case as checking a label before editing it.

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 gives a clear usage context: use when the current label details are needed before editing. It does not explicitly name label_update as the alternative, but the "before editing it" phrasing makes the read-versus-edit boundary reasonably clear.

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