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create_timesheet

Log hours worked on a task, defaulting to today’s date, and get an entry ID. Use dry-run to preview timesheet values before saving.

Instructions

Log hours worked on a task (defaults to today); returns {"entry_id": id}.

hours must be > 0; date must be YYYY-MM-DD. With dry_run=true returns {"dry_run": true, "vals": {...}} without writing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
hoursYes
dry_runNo
task_idYes
descriptionNo
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states that the tool writes by default, that dry_run avoids writing, that date defaults to today, that hours must be positive, and that the response format differs in each mode. This provides meaningful information beyond the schema, though expected side effects like duplicates or permissions are not covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two compact chunks: the first establishes the core behavior and return shape, the second gives constraints and dry_run behavior. It wastes no words and repeats nothing already in the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple creation tool with no output schema and no annotations, the description covers the main behavioral details a caller needs: default date, constraints, return values, and a non-write dry_run path. It could further explain the description parameter or explicitly state that task_id is required, but the schema already marks that requirement.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so parameter semantics rely solely on the description. It usefully explains constraints for hours (>0) and date (YYYY-MM-DD) and clarifies dry_run behavior. However, it does not elaborate on task_id or description, though their meaning is inferable from schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the action and resource: 'Log hours worked on a task' with a destination given by the tool name create_timesheet. It is evidently distinct from update_timesheet and list_timesheets among the siblings, but it does not explicitly call out that distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance or comparison with alternatives like update_timesheet or list_timesheets. The description conveys the basic intent but leaves the agent to infer when to select this tool over its siblings.

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

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