log_time_bulk

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

Annotations cover the safety profile (readOnly=false, idempotent=false, destructive=false, openWorld=true), and the description adds genuinely useful behavioral detail beyond them: entries are created in order, a refusal by default does not stop the rest, each outcome is reported with its position, and duplicates are accepted so calling twice logs twice. It doesn't describe permissions or rate limits, so a 4 rather than 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?

Front-loads the core action and packs several distinct facts (ordering, failure handling, duplicate risk, read-first advice) into tight clauses. It is a touch dense but every sentence carries information an agent needs.

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?

With rich annotations and an output schema present, the description needn't explain return values, and it correctly focuses on the non-obvious gaps: ordering, partial-failure behavior, and non-idempotency. Only minor items like permission requirements are absent.

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 both parameters are fully documented, so the baseline is 3. The description restates the default failure semantics already captured by stop_on_error and adds nothing about the nested BulkEntry fields, so it does not meaningfully exceed 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+resource (declaring several time entries in one call) and immediately scopes it with a concrete use case ('what filling a week looks like'). It explicitly relates to the sibling log_time ('each entry takes the same arguments as log_time'), so an agent can distinguish bulk from single-entry logging without opening the schema.

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 clear context ('filling a week') and a prerequisite action ('read the week first with timesheet'), routing the agent to the read tool before writing. It does not explicitly say when to prefer log_time instead, so it stops short of full when/when-not guidance, but the alternatives are strongly implied.

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