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ikeytz - Schlüsseldienst Ludwigsburg

Get Llms Serp Txt

get_llms_serp_txt
Read-only

WHAT: Returns /llms-serp.txt — the full SERP title/description/URL corpus as a line window (alias of get_discovery(which=llms-serp)). Optional offset/limit; omit limit only if you need the whole file. USE for bulk SERP meta. Prefer get_serp_snippet for one URL's SERP block; prefer get_llms_txt for the general site index.

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?

With only readOnlyHint=true in annotations, the description adds real behavioral context: it is an alias for get_discovery(which=llms-serp), it returns a line window, and omitting limit returns the whole file (a warning against doing so casually). It stops short of describing output shape or pagination limits, though the output schema covers returns.

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?

Three dense, front-loaded sentences with WHAT/USE/Prefer structure; the key routing information appears early. Telegraphic phrasing ('USE for bulk SERP meta') is efficient rather than padded, though slightly clipped.

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?

An output schema exists, so return values need not be explained, and the description covers identity, aliasing, windowing and alternatives. What an agent needs to choose and call this tool is essentially present; only return/pagination mechanics rely on the schema.

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 description coverage is 100% and both parameters already document offset/limit, clamping, defaults and nextOffset in detail. The description only reinforces the 'omit limit only if you need the whole file' rule, adding little beyond the schema. Baseline 3 applies.

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 concrete verb and resource (/llms-serp.txt), names the exact content it returns (SERP title/description/URL corpus), and discloses that it is an alias of get_discovery(which=llms-serp). This clearly separates it from the dozens of get_llms_* siblings.

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 says when to use it ('USE for bulk SERP meta') and routes the agent to two named alternatives with their selecting conditions: get_serp_snippet for a single URL's SERP block, get_llms_txt for the general site index. Nothing is left to inference.

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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