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ethora-mcp-server

Batch Create Users

ethora-users-batch-create-v2

Provision many Ethora users (1–100) in one asynchronous batch job — the bulk equivalent of ethora-user-register. Enqueues a background job (HTTP 202); the job reports per-user conflicts rather than failing the whole batch. Returns { jobId, statusUrl }. Auth: B2B mode (ethora-auth-use-b2b + a configured b2bToken). Errors: 401/403 not in B2B mode; 422 usersList validation. Related: track with ethora-wait-users-batch-job-v2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timeoutMsNoHTTP timeout for the job-creation request (not the job itself), in milliseconds. Default 30000.
usersListYesThe users to create, 1–100 per batch.
bypassEmailConfirmationNoIf true, created users skip email verification and are immediately usable. If false/omitted, each user receives a verification link.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The annotations are thin (only openWorldHint=true, idempotentHint=false), so the description carries the burden and meets it: it discloses the asynchronous HTTP 202 behavior, per-user conflict handling instead of whole-batch failure, the `{ jobId, statusUrl }` return shape, and the 401/403/422 error conditions. Nothing contradicts the annotations.

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?

Three short, dense segments: behavior and batch size first, then response shape, then auth/errors/related tool. Every clause carries operational information with no filler or repetition of schema content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description itself supplies the return shape (`{ jobId, statusUrl }`), the async semantics, and the follow-up tracking tool. Combined with a fully-described input schema, nothing an agent needs to select and invoke this tool correctly 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 description coverage is 100%, so all three parameters (usersList, timeoutMs, bypassEmailConfirmation) are already documented; the baseline is 3. The description adds little parameter-level value beyond tying 422 validation to `usersList` and noting per-user conflict reporting.

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?

Opens with a specific action ('Provision many Ethora users (1–100)') and a concrete resource, and immediately contrasts itself with the single-user sibling (`ethora-user-register`), so an agent can tell it apart from the large sibling list without opening the schema. The async-batch framing (HTTP 202) further pins down what this tool is.

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

Usage Guidelines5/5

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

Names the near-sibling and the condition that selects between them: bulk (1–100) versus single-user registration. It also routes the follow-up step to `ethora-wait-users-batch-job-v2` and states the auth prerequisite (B2B mode via `ethora-auth-use-b2b` + `b2bToken`), so an agent knows exactly when and with what setup to call this tool.

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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