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Timix.AI

by ai.timix

reject_timesheet

Reject a submitted timesheet period, returning it to the reporter for correction. The period and its time reports revert to Rejected (editable). A rejection comment is required. Use confirm=true to proceed. Requires Manager or Admin/Owner role (Finance is excluded — timesheet approval is PM work, not finance).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentYesRejection reason shown to the reporter. Required so they know what to fix.
confirmNoSet true to perform the action. Omit or false returns a preview only — nothing is written.
idempotency_keyNoOptional caller-supplied key; retrying with the same key returns the original result instead of acting twice.
submission_period_idYesId of the submission period to reject (from get_pending_approvals or list_approval_history).

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description effectively discloses key behaviors: state change to Rejected (editable), required comment, confirm flag for execution, and role constraints. It could mention preview mode more explicitly, but overall it is transparent.

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 (4 sentences), front-loaded with the main action, and each sentence adds essential information without redundancy.

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?

Given no output schema and full parameter coverage, the description adequately covers the tool's purpose, effect, and usage constraints. It could mention return values, but this is not critical.

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 coverage is 100%, so baseline is 3. The description adds value by explaining the overall effect and the requirement of a comment, going beyond parameter descriptions.

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 'Reject' and the resource 'timesheet period', explaining the effect of returning it to the reporter. This distinguishes it from sibling tools like approve_timesheet and recall_timesheet.

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

Usage Guidelines4/5

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

The description provides context for when to use (rejecting a submitted timesheet) and includes role requirements with exclusions. However, it does not explicitly compare to alternatives or state when not to use this tool.

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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TDQS

B3/5.0
Disambiguation2/5

Multiple tools have overlapping purposes, e.g., create_time_report and log_time both create a single time entry with near-identical descriptions. There are also many similar getter/list tools that blur together, making it hard for an agent to select the right one.

Naming Consistency2/5

Most tool names use snake_case, but verbs are inconsistent: 'list' vs 'get' for similar operations, 'manage' combines create/update/delete, and 'use_favorite' is an outlier. This pattern reduces predictability.

Tool Count1/5

With 114 tools, the set is extremely large and far beyond a well-scoped server (typical 3-15). This overwhelms agents and suggests many tools could be consolidated or removed.

Completeness3/5

The tool surface covers a broad domain including customers, projects, tasks, time tracking, invoicing, and user management, but there are gaps like no list_users or direct user listing, and some operations seem redundant rather than filling missing functionality.

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