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Create Support Ticket

nexusai_support_ticket_create

Submit a new support ticket to the NEXUS AI team. Use this when you encounter platform issues, plan questions, or need help with a deployment. Do not include passwords, API keys, payment card numbers, government ID numbers, health information, or other sensitive personal data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subjectYesShort summary of the issue (e.g. "Deployment stuck in deploying state").
categoryNoTicket category. Default: general.
priorityNoTicket priority. Default: MEDIUM.
descriptionYesFull details of the issue. Include error messages, deployment IDs, and steps to reproduce. Do not include passwords, API keys, payment card numbers, government ID numbers, health information, or other sensitive personal data.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / description / description
      Previous value: -"Full details of the issue. Include error messages, deployment IDs, and steps to reproduce."New value: +"Full details of the issue. Include error messages, deployment IDs, and steps to reproduce. Do not include passwords, API keys, payment card numbers, government ID numbers, health information, or other sensitive personal data."
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=true, so the mutation/scope profile is known. The description's contribution is the sensitive-data prohibition, which is genuinely useful operational guidance but is largely repeated verbatim inside the schema's description property. It adds no return-behavior or permission context beyond that.

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?

Three short sentences, purpose front-loaded, followed by usage trigger and a data-safety warning. Nothing is wasted, though the PII sentence duplicates content already in the schema.

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 simple mutation tool with no output schema and full annotation coverage, the definition supplies purpose, trigger, and the key data-handling constraint an agent must respect. Missing only a note on what submission returns or how to follow up via the reply sibling.

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% with two enum constraints documented, so the schema already carries full parameter meaning. The description does not elaborate on the subject/category/priority fields or defaults, 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?

The description states a specific verb and resource ("Submit a new support ticket") and the scope ("new") that inherently separates it from nexusai_support_ticket_reply, _get, and _list. However, it never names those siblings explicitly to reinforce the distinction, which is what separates a 4 from a 5.

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 gives clear when-to-use context ("platform issues, plan questions, or ... help with a deployment"), which is concrete guidance most definitions lack. It stops short of naming when NOT to use it or pointing at the reply/list siblings for follow-ups, so no exclusion criteria are covered.

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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