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List check-ins

officernd_list_checkins
Read-only

List member check-ins (who was on site, when, and via which booking or pass) — useful for occupancy and attendance. OfficeRnD: GET /checkins.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size, 1-50 (OfficeRnD's max; default 50).
memberNoOnly items for this member _id.
companyNoOnly items for this company _id.
locationNoOnly items for this location _id.
cursor_nextNoThe cursorNext from the previous page. Omit for the first page.
cursor_prevNoThe cursorPrev from a page, to go one page back.
started_fromNoOnly check-ins starting at or after this time (ISO 8601 date-time, e.g. 2026-01-01T00:00:00.000Z).
started_beforeNoOnly check-ins starting before this time (ISO 8601 date-time, e.g. 2026-01-01T00:00:00.000Z).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safe-read nature is covered. The description adds value by enumerating what a check-in record contains, but says nothing about pagination semantics or result volume beyond what the schema cursor params imply.

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 compact sentence front-loads the resource and its payload, then adds the use case and API endpoint. No wasted words.

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 endpoint with fully documented parameters and no output schema, the definition covers purpose, content, and use case adequately. Only pagination behavior and return shape are left implicit, a minor gap.

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 eight parameters (limit, member, company, location, cursors, time bounds) are already documented in the schema. The description adds no additional syntax or format guidance, so the baseline 3 applies.

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?

States a specific verb+resource ('List member check-ins') and clarifies the returned content (who was on site, when, via which booking or pass), which distinguishes it from siblings like list_bookings or list_members. An agent can identify the tool's scope without opening the schema.

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

Usage Guidelines3/5

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

The phrase 'useful for occupancy and attendance' implies the use case but gives no explicit when-to-use vs alternatives or exclusions (e.g., when to prefer list_bookings). Usage is inferred rather than stated.

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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