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request_sales_assistance

Submit a sales ticket to cancel or transfer a Hostkey service, or request similar assistance, by providing details and confirmation.

Instructions

Ticket to the sales department (jira/request_assistance): cancellation or transfer of a service and similar requests. Describe details in message.

Input Schema

NameRequiredDescriptionDefault
idNoServer ID, if the request concerns a server
confirmYesMust be true to run the operation.
messageYesRequest details: what to cancel/transfer and why
subjectNoRequest subject

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv1.0.3
    • changedInput schema / properties / id / description
      Previous value: -"ID сервера, если запрос касается сервера"New value: +"Server ID, if the request concerns a server"
    • changedInput schema / properties / message / description
      Previous value: -"Детали запроса: что отменить/перенести и почему"New value: +"Request details: what to cancel/transfer and why"
    • changedInput schema / properties / subject / description
      Previous value: -"Тема запроса"New value: +"Request subject"
  2. First observedv1.0.1

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare write (readOnlyHint=false), open-world, and non-destructive behavior. The description adds that details go into a message and frames the result as a 'ticket,' but says nothing about processing/turnaround, whether the ticket is asynchronous, or what confirmation yields.

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?

Two compact sentences with no filler, and the tool's identity is front-loaded. It is efficient, though it wastes the opportunity to spend that brevity on disambiguation from overlapping siblings.

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

Completeness3/5

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

For a write/ticket-creation tool with no output schema, the description is thin: it doesn't explain what comes back, expected latency, or how it differs from request_cancellation. Given full schema coverage the basics are covered, but decision-critical context 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 four parameters (id, confirm, message, subject) are already documented in the schema. The description's only addition is 'Describe details in message,' which restates the schema and adds no new syntax or semantic guidance.

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 action (create/open a ticket) and resource (sales department), plus the domain scope 'cancellation or transfer of a service.' However, it does not differentiate itself from sibling tools like request_cancellation or create_rhr_request, which overlap in intent, so an agent could still pick the wrong one.

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 phrase 'cancellation or transfer of a service and similar requests' implies when to reach for this tool, but it names no alternatives and gives no explicit when-not guidance. With siblings like request_cancellation available, the boundary between them is left 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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