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quote_order

USE THIS when the human describes a job or a symptom rather than a product ("my router bits are burning the wood", "I keep snapping 3mm drills") and gives a budget. Turns that into 2-4 priced options with a one-line reason for each.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "need": "<need>"
    },
    "name": "quote_order"
  }
}

Input Schema

NameRequiredDescriptionDefault
qtyNo
needYes
ships_toNoUS
budget_maxNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the return shape (2-4 options, each with a one-line justification), but says nothing about whether this merely quotes or actually creates/commits an order despite the 'order' in the name, nor about permissions or side effects. An agent could reasonably worry this is a write operation.

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?

Two sentences, front-loaded with the triggering condition, and the worked examples do real disambiguation work rather than padding. Nothing is wasted.

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?

No annotations and no output schema, so the description has to cover behavior and results itself. It handles the invocation trigger and result cardinality well but leaves the quote-vs-order question, quantity, and shipping destination unexplained for a four-parameter commerce tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must define all four parameters. It only maps the prose to 'need' (job/symptom) and 'budget_max' (budget); qty and ships_to are never mentioned, leaving two of four parameters with no meaning anywhere.

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 gives a concrete transformation: it 'turns' a described job/symptom plus a budget into '2-4 priced options with a one-line reason for each.' That distinguishes it from product-lookup siblings like get_product or search_products via the explicit 'rather than a product' framing, though no sibling is named directly.

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?

The trigger is unusually explicit, with two quoted example utterances and a stated precondition (the human 'gives a budget'). The negative case is only implied by 'rather than a product' — it never says what to do when a product SKU is named, or whether to fall back to search_products/recommend_for_answer.

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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