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catalog

get_quote

Request a formal quotation for catalog parts. Creates a quote request and returns its reference; Satmarin replies within one working day. This call emails nothing to the requester.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes1 to 20 lines. Every part number must be a live, quotable catalog product.
notesNoOptional free text, up to 1000 characters.
contactYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does disclose several behavioral traits: the call mutates state (creates a request), returns a reference, has a stated turnaround ('Satmarin replies within one working day'), and explicitly triggers no email to the requester. However, it omits auth/permission requirements, duplicate-request behavior, and error handling for invalid or non-quotable parts mentioned in the schema.

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, front-loaded sentences with no padding; the core action and return value come first. The final sentence about not emailing the requester is non-obvious and earns its place.

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 mutating tool with no annotations and no output schema, the description correctly supplies the missing return-value info ('returns its reference') and a latency expectation, plus a nested-object-heavy schema that is well documented. Only auth/permission context is missing, a minor gap.

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 67% and the description adds no parameter-level detail (it never explains items, contact, or notes). The schema already documents the items array bounds, sku/qty semantics, and notes length, so the description neither compensates for nor extends the remaining gap.

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+resource combination ('Request a formal quotation for catalog parts') and describes the effect ('Creates a quote request and returns its reference'). It does not distinguish itself from siblings like search_parts or resolve_supersession, so the agent must infer the boundary, but the purpose itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description says what the tool does but never states when to use it versus alternatives, nor any prerequisites (e.g., that parts must already be known/quotable, or that search_parts should be used first to find SKUs). Usage is only implied by the verb.

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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