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Create an organization

deskpro_create_organization
Destructive

Create a customer organization. Email domains auto-associate people with matching addresses. Deskpro: POST /api/v2/organizations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe organization's name.
labelsNoLabels to set.
summaryNoA short description.
email_domainsNoEmail domains belonging to the organization, e.g. example.com.

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

B3.4/5.0
Behavior3/5

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

Annotations supply destructiveHint=true, and the description adds a genuinely useful side effect: email domains auto-associate matching people. It stops short of stating permission/auth requirements, whether duplicate names are rejected, or what the call returns. The auto-association 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?

Three short sentences with zero padding; the core purpose is front-loaded, followed by the key side effect and the endpoint. Nothing could be removed without losing information.

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 four-parameter create tool with full schema coverage and no output schema, the description covers purpose, the notable side effect, and the endpoint. It omits auth/permission needs and duplicate-handling behavior, which are the only meaningful gaps.

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%, so the schema already documents all four parameters, which sets the baseline at 3. The description's note about email domains auto-associating people adds a bit of meaning about that parameter's effect, but gives no syntax, validation, or format detail beyond the schema.

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 ('Create a customer organization') and even names the backing endpoint (POST /api/v2/organizations), so an agent immediately knows the operation. It does not explicitly contrast with siblings like deskpro_update_ticket, but the create-vs-get-vs-list distinction is unambiguous from the wording.

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 when-to-use or when-not-to-use guidance, no prerequisites, and no mention of alternatives such as deskpro_get_organization or deskpro_list_organizations. The email-domain note is a behavioral detail, not routing guidance.

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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