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

With no annotations, the description carries the full behavioral burden and does disclose a critical side effect: it auto-marks the wakeup as triggered if the trigger date has passed, meaning this 'get' is not purely read-only. It doesn't cover idempotency (what happens on a second call) or permission needs, so not a 5.

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 front-loaded sentences: purpose first, then the routine workflow, then the side effect. Efficient and well-ordered; the inline call example is slightly verbose but earns its place as a usage cue.

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?

Given no annotations and no output schema, the description covers purpose, intended workflow, and the auto-trigger side effect, plus hints at return content ('full context and benchmarks'). Satisfies what an agent needs to call it correctly, with minor gaps around return shape and repeat-call behavior.

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 description coverage is 100%, so both id and _offset are already documented in the schema; baseline is 3. The inline example get_wakeup({ id: 'abc-123' }) reinforces usage but adds no semantic detail beyond the schema.

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 and resource ('Retrieve a single wakeup by ID'), which clearly distinguishes it from the plural list sibling get_wakeups. It does not name that sibling explicitly, but 'single ... by ID' is unambiguous about scope.

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?

Gives a concrete scenario: invoke inside a Claude routine prompt, call get_wakeup, get context/benchmarks, then run the analysis. This is clear context for one intended workflow, though it doesn't contrast against get_wakeups or state when not to use it.

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