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create-logged-time

Track work hours by creating logged time entries with project, task, and billing details for accurate time management.

Instructions

Create a new logged time entry for tracking work hours

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
people_idYesThe person ID who logged the time
project_idYesThe project ID for the logged time
task_idNoThe task ID for the logged time
dateYesThe date for the logged time (YYYY-MM-DD)
hoursYesThe number of hours logged
billableNoWhether the time is billable (1 = billable, 0 = non-billable)
notesNoOptional notes describing the work done
reference_dateNoReference date for UI suggestions
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Create' implies a write operation, it doesn't address critical aspects like required permissions, whether the operation is idempotent, error handling, or what happens on success/failure. For a mutation tool with zero annotation coverage, this represents a significant gap.

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 a single, efficient sentence that states the core purpose without any wasted words. It's appropriately sized and front-loaded with the essential information, making it easy for an agent to parse quickly.

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

Completeness2/5

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

For a mutation tool with 8 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what happens after creation, what values are returned, error conditions, or how this tool relates to similar tools in the system. The agent would need to guess about important behavioral aspects.

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?

The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description adds no additional parameter information beyond what's already in the schema descriptions, so it meets the baseline expectation but doesn't provide extra value.

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 states the action ('Create a new logged time entry') and resource ('for tracking work hours'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'bulk-create-logged-time' or 'update-logged-time', which would be needed for a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'bulk-create-logged-time' or 'update-logged-time'. There's no mention of prerequisites, constraints, or typical use cases, leaving the agent with insufficient context for optimal tool selection.

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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