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Mindbody MCP by usefulapi

List staff

mindbody_list_staff
Read-only

List staff members (instructors, practitioners). Filter by role, or find who is available for a session type at a location and time (session_type_id + location_id + start_date_time together). Without a staff token only public fields return. Mindbody: GET /staff/staff.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (request.limit), 1-200. Mindbody defaults to 100.
offsetNoPage offset (request.offset). Mindbody defaults to 0. See PaginationResponse.TotalResults.
filtersNoFilters to apply.
staff_idsNoOnly these staff ids.
location_idNoOnly staff available at this location (needs session_type_id and start_date_time).
session_type_idNoOnly staff available for this session type (needs location_id and start_date_time).
start_date_timeNoOnly staff available at this time (needs session_type_id and location_id) — ISO 8601, e.g. 2026-10-01 or 2026-10-01T09:00:00.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds a genuinely useful auth caveat – that without a staff token only public fields return. It does not discuss pagination behavior or result shape, but the token-scoping disclosure is real added value beyond the annotation.

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?

Four tight sentences, front-loaded with the core purpose and the parameter-cluster constraint, closing with the underlying API route for traceability. No padding.

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 7 optional parameters, no output schema and full schema coverage, the description covers purpose, usage modes, and the notable auth caveat. Only return-field/pagination detail is absent, and pagination is already documented in the schema, so nothing critical is missing.

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 dependent parameter's description already states which siblings it needs, so the description's restatement of the session_type_id + location_id + start_date_time grouping is largely redundant. The vague 'filter by role' phrasing does not precisely map to the filters enum. Baseline 3 is appropriate when the schema does the heavy lifting.

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 and even disambiguates what 'staff' means ('instructors, practitioners'). It is clearly separable from siblings like mindbody_list_clients or mindbody_list_staff_appointments, though it never explicitly names a sibling to route the agent.

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?

Gives two concrete usage modes: plain filtering versus availability lookup, and explains the latter requires the three parameters together. It stops short of naming alternatives or stating when not to use this tool, so it is clear context without exclusions.

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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