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update-logged-time

Update an existing logged time entry by specifying its ID and modifying properties like person, project, task, date, hours, billable status, or notes. Resolve time logging corrections in Float.

Instructions

Update an existing logged time entry

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
logged_time_idYesThe logged time ID (hexadecimal)
people_idNoThe person ID who logged the time
project_idNoThe project ID for the logged time
task_idNoThe task ID for the logged time
dateNoThe date for the logged time (YYYY-MM-DD)
hoursNoThe 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, the description carries full burden of disclosing behavioral traits. It only states 'update an existing logged time entry', omitting details like whether it performs a partial or full replacement, required permissions, side effects on related records, or error handling (e.g., what happens if the entry doesn't exist).

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 concise sentence with no unnecessary words or information. It is front-loaded and efficient.

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?

Despite having 9 parameters and no output schema or annotations, the description is too brief to fully inform an agent. It lacks information about expected responses, validation rules, and operational details critical for an update operation.

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 100%, so the schema already documents each parameter. The description adds no additional meaning beyond the schema, such as constraints, interdependencies, or usage examples. Baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb 'update' and the resource 'logged time entry', distinguishing it from sibling tools like create-logged-time, delete-logged-time, and list-logged-time. It is specific and unambiguous.

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 such as create-logged-time (for new entries) or delete-logged-time (for removals). It lacks any context about prerequisites or scenarios.

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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