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List practitioners

splose_list_practitioners
Read-only

Practitioners (staff): name, email, profession, role, active flag, online-booking flag, timezone and their location/service connections. GET /practitioners.

Input Schema

NameRequiredDescriptionDefault
emailNoPractitioner email.
id_gtNoOnly objects with an id greater than this: the next page (pass the previous reply's next_id_gt).
id_ltNoOnly objects with an id less than this: the previous page.
isActiveNotrue = only active practitioners, false = only inactive.
lastnameNoPractitioner last name.
roleNameNoA predefined or custom role name.
firstnameNoPractitioner first name.
update_gtNoOnly objects updated after this date or date-time (UTC).
update_ltNoOnly objects updated before this date or date-time (UTC).
include_archivedNotrue to include archived objects (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safe-read profile is covered; the description adds the returned field set and the underlying endpoint, which is useful context. It says nothing about pagination (id_gt/id_lt cursors), default exclusion of archived records, or result ordering — all behaviors the agent must know to page correctly.

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?

Two compact statements with no wasted wording, and the resource definition leads. The fragment style ('Practitioners (staff): …') omits an explicit verb, but the endpoint reference compensates.

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?

With no output schema, the attribute enumeration is a genuinely useful stand-in for the return shape, and the 10 parameters are fully covered by the schema. However, nothing is said about pagination cursors, the archived-record default, or filtering capability — gaps that matter for a list tool with this many inputs.

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 every parameter is already documented, and the description adds no parameter-level meaning beyond what the schema states. The enumerated attributes describe output fields, not input filters, 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?

Names the specific resource (practitioners/staff), enumerates the attributes returned (name, email, profession, role, active flag, online-booking, timezone, location/service connections), and anchors to GET /practitioners. This distinguishes it from the singular splose_get_practitioner, though the description never states the 'list all' scope or that the result set is filterable.

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 statement of when to use this versus splose_get_practitioner (single record) or splose_get_practitioner_availability. The schema exposes filters (email, isActive, roleName, firstname/lastname, update ranges, include_archived) but the description never signals that filtering or pagination is possible, so the agent must open the schema to discover it.

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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