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octowatch-mcp

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by extralabs

Timesheet

get_timesheet
Read-only

Retrieve timesheet and attendance summaries for selected users or groups over a specified period. Use relative periods or date ranges to analyze work hours and attendance data in OctoWatch.

Instructions

Timesheet / attendance summary (POST /api/TimeSheet/Overall2).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNo
periodNoRelative period: today|yesterday|last_7_days|last_30_days (wins over date_from/date_to when set).
date_toNoEnd datetime; date-only covers until 23:59:59 that day.
user_idNoUser filter: AliasID as TreeviewUsers NodeType=1.
group_idNoGroup filter: TreeviewUsers NodeType=14 (console group id).
date_fromNoStart datetime YYYY-MM-DD or YYYY-MM-DD HH:MM:SS (full day if date-only).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the key safety and scope traits. The description adds the POST endpoint, but says nothing about aggregation behavior, date-window semantics, or how the response is shaped. This is adequate because the annotations carry the main behavioral burden.

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, front-loaded sentence: 'Timesheet / attendance summary (POST /api/TimeSheet/Overall2).' It wastes no words and includes the endpoint without duplicating schema content.

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?

The detailed schema, annotations, and output schema cover most invocation knowledge, but the description is minimal and leaves gaps around the raw flag and how this tool relates to sibling summary tools. It is minimally viable but not richly contextual.

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 83%, and the schema already explains period, date_from, date_to, user_id, and group_id. The description adds no parameter-level meaning, and the raw boolean remains undescribed both in the schema and in the tool description, so the agent is left guessing about that flag.

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 resource as a 'Timesheet / attendance summary' and gives the endpoint, so an agent can tell it is about retrieving timesheet/attendance data. However, it does not use a specific verb and does not distinguish it from sibling summary tools like get_activity_summary or get_productivity_summary.

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 guidance about when to use this tool instead of the many related summary/report siblings, nor any mention of prerequisites or typical use cases. The schema explains parameter precedence, but the description itself provides no usage direction.

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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