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Boian

Basecamp Classic MCP Server

by Boian

create_time_entry

Log time entries on projects with date, hours, and description. Optionally assign to a person or link to a to-do item for detailed tracking.

Instructions

Log a time entry on a project.

Args: project_id: The numeric project ID. date: Date of the time entry in YYYY-MM-DD format. hours: Number of hours to log (e.g. 1.5). description: Description of work done. person_id: Optional person ID (defaults to current user). todo_item_id: Optional to-do item ID to associate the entry with.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
hoursYes
person_idNo
project_idYes
descriptionYes
todo_item_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses useful behavior such as person_id defaulting to current user and optional todo_item_id association. However, it does not mention side effects, validation rules, or error conditions, which are important for a mutation tool.

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 concise with a single clear purpose sentence followed by an organized Args list. Each parameter description is necessary because the schema lacks descriptions, so every line earns its place.

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?

All six parameters are documented, and the output schema exists so return values are not needed. The description covers the essentials for logging time, though it lacks details about validation or failure modes, which is a minor gap given the tool's simplicity.

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

Parameters5/5

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

Schema description coverage is 0%, and the description fully compensates by explaining every parameter: project_id as numeric, date format, hours with example, description, person_id default, and todo_item_id optional. This adds meaning beyond the bare schema.

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 'Log a time entry on a project' with a specific verb and resource. This distinguishes it from sibling tools like list_time_entries (read) and other create tools (create_todo_item, create_message) by focusing on time entry logging.

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

Usage Guidelines3/5

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

The description implies usage by naming the action, but it does not explicitly state when to use this tool versus alternatives or provide exclusions. No when/when-not guidance is given, though the tool name and context make the purpose evident.

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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