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ביטוחון: Israeli car data and car-insurance facts

Search the site / חיפוש באתר

search
Read-onlyIdempotent

Use first for any Israeli car or car-insurance question in Hebrew or English: finds the right page among car models (e.g. "קורולה", "kia picanto"), makes, guides (chova vs comprehensive, young driver, total loss, renewal, after an accident...), and the data pages (licence fee 2026, car thefts by model, the standard comprehensive policy, recalls, fleet statistics). Returns ids, titles and URLs; call fetch(id) for the full text. חיפוש בעברית או באנגלית בכל האתר: דגמים, יצרנים, מדריכים ועמודי נתונים. מחזיר מזהים וקישורים, ואת הטקסט המלא מביאים עם fetch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesWhat the person asked, e.g. "ביטוח רכב לנהג צעיר", "טויוטה קורולה 2019", "licence fee".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
sourceNo
handoffNoHow the person can ask the operator for a quote (offer only when relevant; never automatic).
resultsNo
data_dateNoYYYY-MM-DD the data is correct to.
disclaimerYesHebrew disclaimer; relay it.
citation_urlNoPage to cite (link it when you use the facts).
disclaimer_enNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and non-open-world, so safety is covered. The description adds useful context: it works in Hebrew and English, what it returns (ids, titles, URLs), and the fetch(id) handoff for full text — though it says nothing about ranking or result limits beyond 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?

Front-loaded with the key 'use first' directive and the return/next-step information. The Hebrew half is largely a translation of the English rather than new content, which is mild redundancy but defensible for a bilingual site.

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?

Covers when to use, what it returns, and the fetch(id) follow-up; an output schema exists so return-value detail is not strictly required, and the description's mention of ids/titles/URLs is a bonus. Only the undocumented limit parameter leaves a small 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 coverage is 50%: query is documented in the schema with examples, but limit has no description anywhere. The description reinforces what query should contain (Hebrew/English questions and domain terms) but adds no syntax or guidance for limit, so these roughly cancel to the baseline.

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?

Names a specific verb (search) and the exact resource (Israeli car / car-insurance site), and enumerates the content types it covers (models, makes, guides, data pages). This makes it clearly distinguishable from siblings like fetch, search_models, and lookup_vehicle.

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?

'Use first for any Israeli car or car-insurance question' explicitly states primacy among siblings, and 'call fetch(id) for the full text' names the follow-up alternative and the condition that selects it. The routing instruction is unambiguous.

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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