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List time off

list_time_off
Read-onlyIdempotent

Staff time off and blocked hours in a date range.

Input Schema

NameRequiredDescriptionDefault
toYesLast day, inclusive. At most 31 days after from.
fromYesFirst day, inclusive.
staff_idNoOnly one staff member, from list_staff.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds one genuinely useful behavioral fact — that the result mixes time off AND blocked hours — but says nothing about ordering, pagination, or whether results are staff-grouped.

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?

A single front-loaded clause with zero filler; every word ('staff', 'time off', 'blocked hours', 'date range') carries information an agent needs to select the tool.

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 three-parameter read tool with full annotation coverage and full schema coverage, the minimum is met, and there is no output schema to explain. However, with no output schema the description is the only place that could characterize the returned records (fields, ordering, max results), and it stops at naming the two entry types.

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%: the inclusive from/to semantics, the 31-day cap, and the staff_id filter (with a pointer to list_staff) are all documented in the schema. The description adds nothing beyond restating the date-range scope, so the baseline 3 applies.

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 names the resource ('staff time off and blocked hours') and the scope ('in a date range'), and importantly adds 'blocked hours' which the tool name alone would not convey. The listing verb is carried by the name/title rather than the description, and no sibling is explicitly contrasted, but add_time_off/remove_time_off are trivially distinguishable.

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 on when to use this versus alternatives (e.g. list_appointments, find_open_slots, or get_business_hours), and no note about prerequisites. A reader must infer usage entirely from the tool name and schema.

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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