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AIR Bandenservice Haarlem

by com.airbandenservice
OverviewDiscussionsAdmin

Days with room for fitting

list_fitting_days
Read-onlyIdempotent

Workshop days that still have room for fitting, in the next 4 weeks. No side effects.

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": "list_fitting_days"
  }
}

Input Schema

NameRequiredDescriptionDefault
supplierItemsNotrue when a chosen tyre comes from the supplier (not in stock at the shop); those arrive the next day when ordered before 16:00 (Amsterdam time), so the first day is left out.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / supplierItems / description
      Previous value: -"true when a chosen tyre comes from the supplier (not in stock at the shop); those need a few working days to arrive, so the first days are left out."New value: +"true when a chosen tyre comes from the supplier (not in stock at the shop); those arrive the next day when ordered before 16:00 (Amsterdam time), so the first day is left out."
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, and the description's 'No side effects' merely restates that. The one piece of added context is the 4-week lookahead bound on results; nothing is said about what a 'day with room' means (capacity, slots, times) or the result format.

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 short sentences with zero waste; the resource and the 4-week scope are front-loaded before the safety note.

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?

With one optional parameter, full annotations and no output schema, the definition is workable but thin: it never says what a returned 'day' looks like or whether capacity/counts are included. Since no output schema exists, that gap falls on the description and is left unfilled.

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 100% and the supplierItems description already explains the next-day-arrival rule that drops the first day, so the schema does the heavy lifting. The tool description adds no parameter meaning of its own, leaving the baseline of 3 appropriate.

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?

Names a specific resource (workshop days with fitting capacity) and a concrete scope (the next 4 weeks), so an agent can tell this is an availability lookup rather than an order/status tool. It would be a 5 if it explicitly contrasted itself with siblings like place_order or get_order_status.

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 4-week horizon implies this is a pre-booking availability check, but the description never says when to use it or what to do instead. No alternative tool is named, so the routing signal is only inferred from the topic.

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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