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ikeytz - Schlüsseldienst Ludwigsburg

Get Llms Jsonld

get_llms_jsonld
Read-only

WHAT: Fetch /llms-jsonld.txt — map every marketing HTML URL to JSON-LD relatedLink (ai-pages fulltext) + mirrorId + optional geo_api (maps Embed-API when Ort-Slug). Format: pageUrl TAB relatedLink TAB mirrorId TAB geo_api. Same engine as get_sitemap_txt (offset/limit/nextOffset/# MCP-META). Not the page body (use get_ai_page). Not get_serp_snippet. geo_api empty for Hub/Legal/non-ort.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of lines to return after offset. Omit or null = return every remaining line in the loaded file. Clamped to 1..10000. For sitemap.txt (~9076 http-URLs, Stand 2026-09-22) omit limit to get the full list (or page with offset/limit + nextOffset). For llms-keywords.txt prefer a window; the file is huge. Meta also as trailing # MCP-META lines in summary.
offsetNo0-based line index into the fetched UTF-8 file (split on \n). 0 = first line. Omit = 0. Combined with limit = a sliding window. Use nextOffset from the previous result to page. Does not count bytes; one line can be a long 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.
pathNoPublic path on www, e.g. /llms.txt or /.well-known/ai.txt
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.
limitNoApplied line limit, or null if the caller omitted limit.
whichNoResolved discovery id after alias fold (llms, sitemap-txt, ard, ai-catalog, …).
localeNoLocale actually used for URLs (args.locale or de).
offsetNoApplied 0-based line offset.
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.
totalUrlsNohttp(s) lines in the loaded file (full count when public/ read succeeds).
truncatedNotrue if load hit a byte cap OR offset+limit left more lines. Also mirrored in trailing # MCP-META lines in summary.
nextOffsetNooffset + returnedLines when more lines remain in the loaded file; else null. Pass as the next offset. Also in # MCP-META.
totalBytesNoFull origin file size when Content-Length is present (e.g. llms-keywords ~50MB); else character length of the downloaded body before the load cap. Also in # MCP-META.
totalCharsNoCharacter length of the downloaded body before applying discoveryFetchMax (may equal totalBytes for ASCII).
totalLinesNoLine count of the loaded file (full public/ file when available).
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.
returnedUrlsNoLines in this window that start with http(s)://
bytesReturnedNoUTF-8 byte length of the returned body window (before # MCP-META).
returnedLinesNoHow many lines are in summary/body this call (before # MCP-META).
fetchTruncatedNotrue if discoveryFetchMax cut the load (line-boundary safe). Large discovery files (sitemap-xml ~12MB, llms-keywords ~55MB, llms-index ~2MB) must load full so offset/limit can reach EOF.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / properties / fetchTruncated / description
      Previous value: -"true if discoveryFetchMax cut the load (line-boundary safe). sitemap-xml (~12MB) and llms-index (~2MB) must load full; keywords stay capped — use totalBytes."New value: +"true if discoveryFetchMax cut the load (line-boundary safe). Large discovery files (sitemap-xml ~12MB, llms-keywords ~55MB, llms-index ~2MB) must load full so offset/limit can reach EOF."
  2. Changed1 schema field changed
    • changedOutput schema / properties / fetchTruncated / description
      Previous value: -"true if discoveryFetchMax cut the load (line-boundary safe). sitemap-xml must load full (~12MB cap); keywords stay capped — use totalBytes."New value: +"true if discoveryFetchMax cut the load (line-boundary safe). sitemap-xml (~12MB) and llms-index (~2MB) must load full; keywords stay capped — use totalBytes."
  3. Changed3 schema fields changed
    • changedOutput schema / properties / fetchTruncated / description
      Previous value: -"true if a byte cap cut the load (line-boundary safe). Rare for sitemap.txt (reads public/)."New value: +"true if discoveryFetchMax cut the load (line-boundary safe). sitemap-xml must load full (~12MB cap); keywords stay capped — use totalBytes."
    • addedOutput schema / properties / totalBytes
      Added value: +{
      +  "description": "Full origin file size when Content-Length is present (e.g. llms-keywords ~50MB); else character length of the downloaded body before the load cap. Also in # MCP-META.",
      +  "type": "number"
      +}
    • addedOutput schema / properties / totalChars
      Added value: +{
      +  "description": "Character length of the downloaded body before applying discoveryFetchMax (may equal totalBytes for ASCII).",
      +  "type": "number"
      +}
  4. Added

TDQS

A4.3/5.0
Behavior4/5

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

The description discloses the output format, the edge case for geo_api ('empty for Hub/Legal/non-ort'), and behavioral parity with get_sitemap_txt. Since the annotations already declare readOnlyHint=true, the description adds meaningful context beyond that.

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?

The description is well-structured with a 'WHAT:' prefix and front-loaded details. Every sentence adds value—purpose, format, exclusions, and a behavioral note—without any filler.

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?

Given the output schema covers return values, the description doesn't need to restate them. It covers the mapping, the format, exclusions, and the geo_api edge case, making it fully sufficient for an agent to call correctly.

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%, so the parameters are well-documented in the schema itself. The description adds a reference to the same engine as get_sitemap_txt, but this doesn't materially change parameter meaning. Baseline 3 is appropriate.

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 uses a specific verb 'Fetch' with the resource '/llms-jsonld.txt' and explains the mapping purpose (URLs to relatedLink, mirrorId, geo_api). It explicitly distinguishes from siblings: 'Not the page body (use get_ai_page). Not get_serp_snippet.' This makes the tool's role unambiguous.

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

Usage Guidelines4/5

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

It references the same engine as get_sitemap_txt for pagination behavior and explicitly states exclusions ('Not the page body', 'Not get_serp_snippet'). While it doesn't phrase an explicit 'use when...' directive, the context and exclusions clearly imply the appropriate use case.

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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