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ikeytz – Schlüsseldienst Ludwigsburg

Resolve Locale Url

resolve_locale_url
Read-only

WHAT: Rewrite one marketing path into another locale without fetching HTML. Example: path=/preise locale=en → canonicalUrl https://www.ikeytz.com/en/preise. Accepts a path or a full https://www.ikeytz.com/… URL; strips an existing /en|/fr|… prefix first. RETURNS path (no locale prefix), fromLocale, toLocale. DOES NOT translate body text. Invalid locale still required by schema — use list_locales. NEXT: get_ai_page({path, locale: toLocale}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesRequired. Site path starting with / (e.g. /preise, /en/preise, /schluesseldienst-ludwigsburg-pattonville) OR a full https://www.ikeytz.com/… URL. Host other than www is not normalized here.
localeYesRequired. Target locale for the rewritten URL.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYestrue = use summary, canonicalUrl, and extra keys. false = do not invent data; read error + hint and retry with valid args or open hint.
hintNoPresent when ok=false. Absolute URL the agent should open or pass to get_ai_page / get_discovery.
pathNoPath without locale prefix
toolYesEcho of the tool name that produced this object (e.g. get_service_area).
errorNoPresent when ok=false. Codes include: unknown_tool, unknown_place, unknown_auswahl, unknown_ratgeber, unknown_doc, unknown_discovery, faq_not_found, wissen_not_found, serp_not_found, q_required, bad_datetime, bad_when_key, plus HTTP errors from fetch.
localeNoLocale actually used for URLs (args.locale or de).
relatedNoAlways includes https://www.ikeytz.com/llms.txt. Geo tools also include https://maps.ikeytz.com/llms.txt.
summaryNoPrimary text for the model. For discovery tools this is the file window (possibly thousands of characters). For list tools a compact one-liner. Quote with attribution.
toLocaleNoRequested target locale
fromLocaleNoLocale parsed from input path
attributionYesRequired citation: 'Quelle: Schlüsseldienst Ludwigsburg ikeytz (ikeytz.com) · ai-train=no · https://www.ikeytz.com/.well-known/ai.txt'
canonicalUrlNoBest URL to show the user: https://www.ikeytz.com… page, or tel:+49…, mailto:…, https://wa.me/…. Prefer this over constructing URLs.

TDQS

A5/5.0
Behavior5/5

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

The annotations only declare readOnlyHint=true, but the description adds meaningful behavioral detail: no HTML fetching, path/full-URL acceptance, stripping of existing locale prefixes, and the exact return fields. None of this contradicts the read-only annotation.

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?

Every sentence earns its place: WHAT, example, accepted input, return value, limitation, and next step are all packed into a compact structured format. The most important behavior is front-loaded and nothing is redundant.

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?

For a two-parameter read-only URL transformation tool, the description fully covers input semantics, output fields, limitations, fallback guidance, and a suggested follow-up call. The presence of an output schema further reduces the need to explain return structure in the description.

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

Parameters5/5

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

Even though schema coverage is 100%, the description enriches both parameters: it gives a concrete path→URL example, clarifies accepted input formats, explains prefix-stripping behavior, and notes that an invalid locale is still schema-required. This adds real value beyond the schema.

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?

The description opens with a specific action ('Rewrite one marketing path into another locale') and names the exact resource and outcome, reinforced by a concrete example. It is clearly distinct from sibling read/get tools because it transforms a URL rather than fetching content.

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?

It explicitly says what the tool does not do ('DOES NOT translate body text'), points to list_locales when the locale is invalid, and suggests get_ai_page as the next step. This gives an agent practical routing and workflow guidance beyond 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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TDQS

A3.9/5.0
Disambiguation3/5

Many tools have clearly distinct roles, but there is real overlap: get_discovery duplicates get_llms_txt/get_llms_mcp_server/get_sitemap_txt, get_it and get_mcp_hub describe the same machines, and get_page_summary is a stub that competes with get_ai_page/get_serp_snippet. The detailed descriptions help, but an agent could still misselect among the discovery and pointer tools.

Naming Consistency4/5

The overwhelming majority follow a consistent snake_case verb-noun pattern: get_*, list_*, compose_*, resolve_*. Minor deviations like site_overview, get_it, and find_by_keyword are readable but break the dominant convention.

Tool Count2/5

45 tools for a single small-business website is excessive and well above the 25+ threshold. Many tools are pointer/list aliases or discovery-file accessors that could be consolidated without losing capability.

Completeness4/5

Core workflows are well covered: identity, contact, emergency info, pricing, invoicing, service areas, FAQs, legal pages, and generic page content via get_ai_page. Minor gaps exist around explicit opening-hours details, existing customer reviews, and maps-domain functionality, but these are mostly declared out of scope rather than dead ends.

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