Skip to main content
Glama

create_timesheet

Create timesheet entries in Odoo by specifying project, hours worked, and work description to track employee time and project costs.

Instructions

    Create a new timesheet entry.

    Args:
        project_id: Project ID
        hours: Number of hours worked
        description: Description of work done
        task_id: Task ID (optional)
        date_entry: Entry date in YYYY-MM-DD format (default: today)

    Returns:
        Confirmation with created entry ID
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
hoursYes
descriptionYes
task_idNo
date_entryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states the tool creates an entry and returns a confirmation with ID, but doesn't disclose permissions needed, whether it's idempotent, error conditions, or side effects. The return statement is helpful but insufficient 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 efficiently structured with a clear purpose statement followed by parameter details and return information. Every sentence earns its place, and it's front-loaded with the core functionality. No wasted words or redundancy.

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

Completeness3/5

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

For a 5-parameter mutation tool with no annotations, the description is moderately complete. It explains parameters well and mentions the return value, but lacks behavioral context like permissions or error handling. The output schema exists, so detailed return explanation isn't needed, but other gaps remain.

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

Parameters4/5

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

Schema description coverage is 0%, so the description compensates well by explaining all 5 parameters in the Args section. It clarifies optional/default values (task_id optional, date_entry defaults to today) and formats (YYYY-MM-DD). This adds significant meaning beyond the bare schema.

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 tool's purpose: 'Create a new timesheet entry.' It specifies the verb ('create') and resource ('timesheet entry'), making the action unambiguous. However, it doesn't differentiate from sibling tools like 'update_timesheet' or 'delete_timesheet' beyond the basic verb difference.

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. It doesn't mention prerequisites (e.g., needing valid project IDs), exclusions, or comparisons to sibling tools like 'update_timesheet' or 'list_timesheets'. Usage is implied by the name alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/industream/mcp-odoo'

If you have feedback or need assistance with the MCP directory API, please join our Discord server