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Cutlab: CNC cutting, ships across Europe

Cutlab capabilities

get_capabilities
Read-only

Facts about Cutlab, a CNC workshop in Estonia shipping across Europe: delivery countries and transit times, machine and work area, materials, tolerances, public rates, minimum order (100 EUR in Estonia, 150 EUR outside Estonia), lead time, VAT rules and file formats. Read-only.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_capabilities"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=false, and the description restates 'Read-only' while adding useful scope about the business facts covered. It does not describe response format, data freshness, or interaction with the quoting tools, so it adds only moderate context beyond the annotations.

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?

The description is a single dense sentence that front-loads the core purpose and then enumerates the covered facts. It is efficient overall, though the trailing 'Read-only' is redundant with the annotations.

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 no-parameter informational tool with no output schema, the description does a solid job listing what facts are available. It could be stronger by briefly indicating the response shape or freshness, but it is complete enough for an agent to know what it will retrieve.

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

Parameters4/5

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

The tool has zero parameters, so parameter semantics are inherently simple and fully covered by the empty schema. The description appropriately does not spend space explaining parameters that do not exist.

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 clearly states that this tool returns factual capability information about Cutlab, including delivery, materials, tolerances, pricing, minimums, lead time, VAT, and file formats. It is distinguishable from the quote-related siblings by being purely informational, though it does not explicitly name or contrast those alternatives.

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 read-only informational nature implies it should be used for lookup rather than quoting, but there is no explicit when-to-use guidance such as calling this before estimate_quote or submit_rfq. The usage is inferable from the content, not stated.

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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