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Zenbooker MCP by usefulapi

List team members

zenbooker_list_team_members
Read-only

List team members (staff and service providers) with role, status, assigned territories, skill tags and work hours. Use the ids to filter jobs by assigned provider. GET /v1/team_members.

Input Schema

NameRequiredDescriptionDefault
emailNoFind a team member by email address.
limitNoResults per page, 1-100 (default 20).
cursorNoWhere to start in the list (default 0). Pass the previous reply's next_cursor.
territoryNoOnly providers assigned to this service territory id.
sort_orderNoSort order (default ascending).
deactivatedNotrue = only deactivated team members, false = only active ones.
created_afterNoOnly items created after this ISO 8601 date-time.
created_beforeNoOnly items created before this ISO 8601 date-time.
service_providerNotrue = only team members who can be assigned jobs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, covering the safety profile. The description adds what fields are returned (role, status, territories, skill tags, work hours) and the endpoint, which is useful context but does not disclose pagination behavior, default filtering, or rate limits beyond what the schema already provides.

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?

The description is two sentences, front-loaded with the core purpose before adding a usage hint and endpoint. It is efficient, though the trailing 'GET /v1/team_members' is a minor technical detail that could be omitted without loss.

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?

Given nine optional parameters but full schema descriptions and annotations covering safety, the description is largely complete. It lists key returned fields and a downstream use case, but does not explain pagination or the default behavior of filters, which would be helpful since there is no output schema.

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 fully documented in the schema. The description does not add any parameter-level semantics or syntax beyond what is already in the schema, making a baseline score of 3 appropriate.

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 states a specific verb 'List' and resource 'team members', and clarifies the scope by including staff and service providers. It does not explicitly differentiate from the sibling get_team_member, but the plural/list nature is clear from the name and description.

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 description implies usage by saying 'Use the ids to filter jobs by assigned provider', which suggests a downstream purpose but does not state when to choose this tool over alternatives like get_team_member. There are no explicit when/when-not conditions or alternative tool recommendations.

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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