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dealdesk-mcp

dealdesk.clone_quote

Clone an existing quote into a new draft to reuse past work. Optionally retarget the title, opportunity, or customer company/contact.

Instructions

Clone an existing quote into a new draft. Optionally retarget title, opportunity, and Customer Directory company/contact. Prefer clone when the user likes a past quote.

Input Schema

NameRequiredDescriptionDefault
titleNo
quoteIdYesSource quote to clone
companyIdNo
contactIdNo
projectIdNoDealDesk project id. Omit when the OAuth token or API key authorizes exactly one project. Required when Connect authorized several projects.
opportunityIdNo
customerReferenceNo

Output Schema

NameRequiredDescriptionDefault
quoteYesQuote status, totals, and optional analytics/shares. Extra fields live on this object, not beside it.
idempotentReplayNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv0.1.1
    • changedInput schema / properties / projectId / description
      Previous value: -"DealDesk project id (must match API key / OAuth project)"New value: +"DealDesk project id. Omit when the OAuth token or API key authorizes exactly one project. Required when Connect authorized several projects."
    • changedInput schema / required
      Previous value: -[
      -  "projectId",
      -  "quoteId"
      -]New value: +[
      +  "quoteId"
      +]
    • changedOutput schema / additionalProperties
      Previous value: -falseNew value: +true
    • changedOutput schema / properties / quote / description
      Previous value: -"Quote summary shown in the quote-totals widget"New value: +"Quote status, totals, and optional analytics/shares. Extra fields live on this object, not beside it."
  2. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It states that cloning produces a new draft (implying the source is unchanged) and that retargeting is optional, but it omits permission requirements and the behavior for omitted fields.

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, front-loaded with the core action, with no wasted text.

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?

An output schema exists, so return values needn't be explained. However, for a 7-parameter mutation tool with no annotations, the description leaves gaps around projectId context and the customerReference parameter.

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 only 29%. The description explains the retargeting purpose of title, opportunityId, companyId, and contactId, but leaves projectId and customerReference unaddressed, so it only partially compensates for the low coverage.

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: 'Clone an existing quote into a new draft.' It does not name sibling tools like create_quote, so sibling differentiation is only implied through the preference note.

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 a clear context for preferring this tool ('when the user likes a past quote') but does not name alternatives or state when not to use it.

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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