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TimeTac MCP by usefulapi

List absences

timetac_list_absences
Read-only

List absence and leave requests (holiday, sick leave and others) with dates, duration and approval status. from_date/to_date keep requests that overlap the range, on the returned page only. TimeTac API: GET absences/read.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum rows to return (API default 100).
sinceNoOnly rows modified since this date-time, for example 2026-10-01 00:00:00. Dates older than 3 months return everything.
offsetNoSkip this many rows (paging).
statusNoOnly this status code (0 = open; see the TimeTac docs for the others).
to_dateNoKeep requests that start on or before this date.
type_idNoOnly this absence category: 1 = holiday, 2 = overtime reduction, 3 = other paid leave.
user_idNoOnly requests of this user id.
from_dateNoKeep requests that end on or after this date.
subtype_idNoOnly this leave type inside the category (see timetac_list_absence_types).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description's added burden is low. It does contribute real value by disclosing the overlap semantics of the date range and the non-obvious caveat that filtering applies 'on the returned page only'. It says nothing about permissions, defaults beyond the schema, or result shape.

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?

Two tight sentences: the purpose and returned fields come first, then the filtering caveat and endpoint. No filler and nothing a reader must hunt for.

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?

For a read-only list tool with fully documented parameters and no output schema, the description covers what the rows contain (dates, duration, approval status) and the range-filter behavior. It stops short on paging expectations, which matter with limit/offset across a 500-row ceiling.

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 100%, so all nine parameters are already documented in structured form, which sets the baseline at 3. The description only synthesizes the from_date/to_date pair into overlap semantics and adds the page-scoping caveat; it adds nothing about status, since, type_id or subtype_id.

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?

States a specific verb and resource ('List absence and leave requests') and enumerates what the rows carry (dates, duration, approval status), plus the backing endpoint GET absences/read. It is clearly distinct from create/approve/reject siblings, though it never names timetac_list_absence_types or any other sibling to sharpen the boundary.

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 when-to-use/when-not statement and no alternative tool is mentioned, even though siblings like timetac_list_absence_types or timetac_create_absence could plausibly be confused with it. The only conditional information given is how the date filters behave, which is parameter semantics rather than usage guidance.

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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