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

Annotations already cover the key behavioral traits: not read-only, idempotent, and not destructive. The description adds that only the label/tag is affected, not the posts themselves, which is useful. However, it does not disclose how the operation behaves when the label is absent or when some post IDs are 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 concise sentence that front-loads the action and resource. It has no filler or redundant information.

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 two-parameter mutation with annotations covering idempotency and destructiveness, the description plus schema is largely sufficient. It could mention edge-case behavior such as what happens when the label is already missing, but this is a minor gap.

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 schema covers 100% of the parameters with descriptions for both post_ids and label. The tool description adds no additional meaning beyond the schema, so the baseline score of 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 ('Remove a label/tag') and the resource ('from one or more saved posts'). This distinguishes it from the sibling tool label_posts, which performs the inverse operation. An agent can understand exactly what this tool does.

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 intended use is implied by the verb and resource, but the description does not explicitly state when to use this tool versus alternatives like label_posts or list_labels. It gives no exclusions or contextual conditions, but it is not misleading.

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