toggl_create_time_entry

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

With no annotations, the description's mention of 'Create' implies mutation, but it fails to disclose important behaviors such as whether entries can be updated, rate limits, or authentication requirements.

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 short sentence, which is concise but at the expense of necessary detail. It achieves the minimum viable structure for a simple tool.

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 the tool has 6 parameters, 2 required, no output schema, and no annotations, the description is severely incomplete. It does not explain how to use parameters like start/stop format or api_key requirements.

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 0% (no parameter descriptions in schema), and the tool description adds no meaning for any of the 6 parameters, leaving their purpose and format entirely unspecified.

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 identifies the action ('Create') and the resource ('new Toggl time entry'), distinguishing it from sibling tools like toggl_time_entries (list) and toggl_summary (aggregation).

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?

No guidance is provided on when to use this tool versus alternatives, nor are there any prerequisites or contextual cues like needing an API key or workspace ID.

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