teamleader_add_time_tracking

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

With no annotations, the description carries the behavioral burden. It discloses a valuable non-obvious behavior: midnight-spanning entries are split automatically. However, it does not disclose response behavior, permission requirements, or side effects beyond the obvious insertion, which keeps this at mid-range.

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?

Two sentences, front-loaded with the operation, then key constraints, and a valuable edge-case note. No wasted words.

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?

All required input semantics are effectively covered by the schema plus description, and the midnight split note is a good addition. However, with no output schema and no annotations, the description gives no indication of what a successful call returns or what failures/authorizations to expect, so an agent is still partly in the dark.

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%, so baseline is 3. The description adds value by stating the one-of duration_minutes/duration_seconds constraint and tying it to started_at, a requirement the JSON schema leaves optional, and it maps subject types to real-world entities.

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 states a specific verb ('Log time worked') against a defined resource ('time tracking') and clarifies the kinds of subjects it applies to. This is clearly distinct from sibling time-tracking verbs (list/get/update/delete).

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 clear invocation context: provide duration and started_at when logging against a subject. It stops short of explicitly naming alternatives or when not to use it, so it misses the top anchor.

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