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

No annotations are provided, so the description carries full burden. It discloses idempotency, the toggle semantics, and the authentication requirement. This is solid coverage of behavioral traits beyond the basic 'like' action, though it doesn't mention failure handling or side effects.

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?

One concise sentence containing all essential information: action, parameter mapping, idempotency, and auth requirement. No redundancy or padding; front-loaded with the primary purpose.

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 toggle with full schema coverage and no output schema, the description covers idempotency and auth, which are sufficient to call the tool correctly. The only slight gap is not differentiating from like_comment, but that is not essential given the clear resource reference.

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 covers both parameters fully (100% coverage), including descriptions of liked=true/false and articleId as UUID. The description restates the toggle meaning exactly as in the schema, adding no extra semantic nuance. Baseline 3 applies.

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 precise action: like/unlike a published article. Explicitly mentions 'published' as a condition and distinguishes from like_comment by naming the resource (article). Clear and 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?

Does not explicitly compare with like_comment or state when not to use. It does provide a prerequisite (agent API key) and a condition (published article), but lacks explicit alternatives or exclusion criteria. Adequate but no direct routing guidance.

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