ביטוחון: Israeli car data and car-insurance facts

Annual licence fee (agrat rishui) / אגרת רישוי שנתית

explain_licence_fee

Read-onlyIdempotent

Use for the Israeli annual car licence fee (אגרת רישוי) for private cars up to 3.5 t: the official table (7 price groups x 4 age tiers, valid 1.4.2026-31.3.2027), how the price group is fixed at first registration, the 135 ILS broadcasting add-on, and the safety-retrofit reduction (a LICENCE-FEE reduction, not insurance). With a plate: the exact fee for that car (live). With make + model (+ year): per trim / model year. With no arguments: the table. אגרת הרישוי השנתית: הטבלה הרשמית, קבוצת מחיר וגיל, והסכום המדויק לפי מספר רכב.

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": "explain_licence_fee"
  }
}

Input Schema

Name	Required	Description
`make`	No	Make in Hebrew, English or slug, e.g. "קיה", "Kia", "kia". / יצרן.
`year`	No	Model year (שנת ייצור). Optional.
`model`	No	Model in Hebrew, English or slug, e.g. "פיקנטו", "Picanto", "picanto". / דגם.
`plate`	No	Israeli licence plate, 7 or 8 digits; dashes/spaces allowed (e.g. "12-345-67"). / מספר רישוי.

Output Schema

Name	Required	Description
`mode`	No
`error`	No
`table`	No
`source`	No
`handoff`	No	How the person can ask the operator for a quote (offer only when relevant; never automatic).
`page_url`	No
`data_date`	No	YYYY-MM-DD the data is correct to.
`disclaimer`	Yes	Hebrew disclaimer; relay it.
`licence_fee`	No
`citation_url`	No	Page to cite (link it when you use the facts).
`disclaimer_en`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 29, 2026

TDQS

A4.6/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), so credit goes to added context: the validity window 1.4.2026-31.3.2027, that the price group is fixed at first registration, that the plate path returns live data, and a disambiguation warning that the safety-retrofit reduction is a licence-fee reduction, not insurance. That is substantive behaviour beyond the annotations, though it says nothing about failure modes for unresolvable plates.

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?

Front-loaded with 'Use for...' and organised as capability then mode-by-mode selection, so it reads as a decision aid rather than prose. It is dense and duplicates itself in Hebrew, which costs a little, but every clause carries distinct information.

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?

An output schema exists, so return-shape explanation is unnecessary, and the description instead supplies the domain context an agent cannot get elsewhere: the table dimensions (7 price groups x 4 age tiers), the applicable period, and the add-on/reduction rules. Nothing needed to call this correctly is missing.

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?

Schema description coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: which parameters produce which query mode (plate = live exact fee, make+model+year = trim-level, none = full table) and that year is optional. This routing semantics is genuinely useful beyond the field-level descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb-and-resource ('explain the Israeli annual car licence fee') and immediately bounds scope: private cars up to 3.5 t, with the official table, price-group mechanics, the broadcasting add-on and the safety-retrofit reduction. It is clearly distinguishable from siblings like explain_chova_price or theft_by_model.

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

Usage Guidelines5/5

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

Explicitly enumerates the three invocation modes and their selecting conditions: 'With a plate: the exact fee', 'With make + model (+ year): per trim', 'With no arguments: the table.' An agent knows exactly which argument combination to supply without opening the schema.

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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