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tempo_recall_timesheet

Destructive

Recall a submitted but unapproved timesheet, returning it to OPEN for corrections and resubmission. Confirmation is required before the recall happens.

Instructions

Recall a user's own timesheet that was submitted but not yet approved, returning it to OPEN so it can be corrected and resubmitted. Asks the user to confirm first: a confirmation prompt where the client supports one; otherwise the first call returns a preview and a confirmToken, and only a repeat call with that token proceeds (see MCP_CONFIRM_MODE).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoPeriod end date (YYYY-MM-DD); defaults to the period containing `from`
fromYesPeriod start date (YYYY-MM-DD) — use tempo_get_periods to find valid period boundaries
commentNoComment recorded against the approval action
accountIdYesAtlassian account id of the timesheet owner
confirmTokenNoONLY for the two-step confirmation fallback (a client without MCP elicitation). The confirmToken from this same tool's phase-1 "confirmation-required" response, passed back ONLY after the user has seen that preview and explicitly approved it in chat — never on the first call, never invented, never reused. Call again with the same arguments. Ignored when the client supports elicitation.
reviewerAccountIdNoAtlassian account id of the reviewer (see tempo_get_timesheet_approvals_waiting)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.2.1

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, so the description adds value by explaining the state change (returning to OPEN) and the mandatory confirmation mechanism (either a prompt or a two-step token fallback). This goes beyond the annotation's simple destructive flag, providing concrete behavioral context. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loading the purpose before the confirmation flow. It is efficient and avoids redundancy, though the confirmation logic is dense and could be slightly restructured for readability. Overall, every sentence earns its place.

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 tool lacks an output schema, and the description does not describe what the response will contain after a successful recall (e.g., the recalled timesheet data or a success message). It also does not mention any post-action state beyond returning to OPEN. While the confirmation flow and preconditions are covered, the missing response information leaves an agent uncertain about the tool's return value.

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 coverage is 100% and each parameter has a detailed description, including the confirmToken's intricate behavior. The tool description itself adds no new parameter-specific meaning beyond what the schema already provides, so the baseline 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 states a specific verb ('Recall'), a resource ('timesheet'), and a precise condition ('submitted but not yet approved'), along with the expected outcome ('returning to OPEN'). This clearly differentiates it from sibling tools like tempo_approve_timesheet, tempo_reject_timesheet, and tempo_reopen_timesheet, which involve different actions on different states.

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 conveys when to use the tool (for a user's submitted-but-unapproved timesheet needing correction) and details the confirmation flow, including how clients without elicitation should proceed with a preview and confirmToken. It does not explicitly name alternative tools or say 'use this instead of X', but the specific condition inherently guides selection.

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