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Dolphin Industrial Parts

Prepare a quote request

request_quote
Read-onlyIdempotent

Prepare a parts quote request (part numbers, quantities, equipment type, make, model, serial, country, notes). It never submits anything: it returns the cleaned request, the quote form URL and contact details so the customer can send it. Quotes are in USD within 1 business day. Availability and price are quoted per application.

Input Schema

NameRequiredDescriptionDefault
makeNoEquipment make.
modelNoEquipment model.
notesNoAnything that helps identify the part.
partsNoParts to quote.
serialNoSerial number.
countryNoShip-to country.
quantityNoQuantity.
descriptionNoPart description.
part_numberNoSingle part number (use parts for several).
equipment_typeNoFor example Pump, Separator / Centrifuge, Fresh Water Generator.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

The description goes well beyond the annotations: it explicitly states 'It never submits anything', describes what is returned (cleaned request, quote form URL, contact details), and discloses business constraints (USD currency, 1 business day turnaround, quote per application). The readOnlyHint/idempotentHint annotations are consistent with the 'never submits' claim.

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 tight sentences, front-loaded with the purpose, and the constraints follow logically. The parenthetical enumeration of fields is slightly redundant against a 100%-documented schema, but it costs little and aids scanning.

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?

With no output schema, the description takes on the burden of describing the return value and does so concretely (cleaned request, quote form URL, contact details). Combined with the 'never submits' guarantee and turnaround expectations, an agent has everything needed to call this correctly.

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% and all ten parameters are documented in the schema, so the schema carries the semantics. The description's parenthetical field list largely restates schema properties without adding format, constraint, or interaction detail, 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?

States a specific verb ('Prepare') and resource ('parts quote request') and enumerates the fields involved, so the agent knows exactly what it produces. It doesn't explicitly contrast itself with the sibling lookup/list tools, but the name being a quote-prep tool rather than a catalog lookup makes the function unambiguous.

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?

Usage is implied rather than stated: it tells you what a quote request contains and how quotes are handled (USD, 1 business day, priced per application), which implies when to call it, but there are no explicit when-to-use/when-not conditions and no sibling tool is named as an alternative.

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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