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Create Organization

create_organization

Creates a new organization and makes the authenticated user the owner. Use this when the user wants to set up a shared display fleet. Returns orgId, name, slug, type and yourRole. Requires admin scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFriendly name for the organization. Example: 'Marketing Team'.
typeNoOrganization type. Defaults to 'organization' if omitted.
access_tokenNoOptional bearer token; prefer session_request_id.
session_request_idNoSession handle from create_auth_session; pass it on every authenticated call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
slugNo
typeNo
orgIdNo
yourRoleNo

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that the user becomes owner, that admin scope is required, and what fields are returned. This materially helps an agent anticipate side effects and the shape of a successful response, which is valuable for a mutation tool.

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 concise sentences cover action, use case, return values, and scope requirement. It is front-loaded with the core purpose and contains no redundant filler.

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?

For a straightforward create tool with full schema coverage and an output schema, the description is complete enough: it states the operation, the use case, the ownership side effect, returned values, and required scope. Nothing essential for calling it 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 the schema already explains all four parameters, including the enum and auth fields. The description adds no parameter-specific detail beyond mentioning the returned fields and admin scope, so it meets the baseline without over-delivering.

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?

The description uses a specific verb and resource ('Creates a new organization') and adds the key detail that the authenticated user becomes owner, which differentiates it from configure_organization and delete_organization. It also ties the tool to a concrete context, setting up a shared display fleet, which makes the purpose unambiguous.

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?

It provides an explicit usage condition ('Use this when the user wants to set up a shared display fleet') and notes the admin scope requirement. However, it doesn't mention when not to use it or how it compares to related tools like configure_organization, list_organizations, or delete_organization, leaving some routing to inference.

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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TDQS

A4/5.0
Disambiguation4/5

Most tools map cleanly to distinct resource-action pairs (displays, organizations, assets, data slots, store templates, auth). A few clusters like the get_store_template_* family and the auth/session tools could still confuse an agent, but their descriptions are explicit enough to separate them.

Naming Consistency4/5

The dominant pattern is consistent verb_noun snake_case (list_*, get_*, create_*, delete_*, send_*, set_*, manage_*). Deviations like fetch, search, authenticate, logout, and pair_by_code are understandable but break the otherwise uniform naming scheme.

Tool Count1/5

With 57 tools this server far exceeds the 50+ threshold, creating an extreme tool-set size for an MCP server. Even though the underlying platform is feature-rich, the sheer number of tools heavily taxes context and selection.

Completeness4/5

The surface covers display, organization, asset, data slot, store template, auth, API key, and licensing lifecycles in impressive depth. Minor gaps exist, such as no delete operation for display categories and no reboot/power control for displays.

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