ikeytz – Schlüsseldienst Ludwigsburg

Get Llms Mcp Web

get_llms_mcp_web

Read-only

WHAT: Fetch /llms-mcp-web.txt — browser WebMCP catalog (early bootstrap tools + full list). Same executeMcpTool handlers as HTTP /mcp, different transport (document.modelContext). Not this streamable-http endpoint.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Maximum number of lines to return after offset. Omit or null = return every remaining line in the fetch window (not the whole disk file if the fetch itself truncated). Clamped to 1..10000. For sitemap.txt (~807 URL lines) omit limit to get the full list. For llms-keywords.txt prefer a window; the file is huge.
`offset`	No	0-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

Name	Required	Description
`ok`	Yes	true = use summary, canonicalUrl, and extra keys. false = do not invent data; read error + hint and retry with valid args or open hint.
`hint`	No	Present when ok=false. Absolute URL the agent should open or pass to get_ai_page / get_discovery.
`path`	No	Public path on www, e.g. /llms.txt or /.well-known/ai.txt
`tool`	Yes	Echo of the tool name that produced this object (e.g. get_service_area).
`error`	No	Present 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.
`limit`	No	Applied line limit, or null if the caller omitted limit.
`which`	No	Resolved discovery id after alias fold (llms, sitemap-txt, ai-catalog, …).
`locale`	No	Locale actually used for URLs (args.locale or de).
`offset`	No	Applied 0-based line offset.
`related`	No	Always includes https://www.ikeytz.com/llms.txt. Geo tools also include https://maps.ikeytz.com/llms.txt.
`summary`	No	Primary 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.
`totalUrls`	No	http(s) lines in the fetched text.
`truncated`	No	true if fetch hit a byte cap OR offset+limit left more lines.
`nextOffset`	No	offset + returnedLines when more lines remain; else null. Pass as the next offset.
`totalLines`	No	Line count of the fetched text (after byte cap).
`attribution`	Yes	Required citation: 'Quelle: Schlüsseldienst Ludwigsburg ikeytz (ikeytz.com) · ai-train=no · https://www.ikeytz.com/.well-known/ai.txt'
`canonicalUrl`	No	Best URL to show the user: https://www.ikeytz.com… page, or tel:+49…, mailto:…, https://wa.me/…. Prefer this over constructing URLs.
`returnedUrls`	No	Lines in this window that start with http(s)://
`bytesReturned`	No	UTF-8 byte length of the returned body window.
`returnedLines`	No	How many lines are in summary/body this call.

TDQS

A4/5.0

Behavior4/5

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

Beyond the readOnlyHint annotation, the description adds meaningful context: it shares executeMcpTool handlers with HTTP /mcp, uses a different transport, and is not the streamable-http endpoint. This helps the agent understand the tool's behavior and avoid confusing it with other endpoints. No contradiction with annotations.

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 two tightly written sentences with a clear WHAT prefix. It front-loads the core purpose and then adds only the necessary transport and endpoint-differentiation details. No filler or redundant restatement of the schema.

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?

With a rich input schema, an output schema, and a readOnly annotation, the description covers the essential purpose and behavioral nuances. It is slightly less complete on explicit when-to-use guidance relative to sibling tools, but for a simple read-only fetch tool the provided context is largely sufficient.

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%, so the input schema already fully documents limit and offset including defaults, clamping, and paging semantics. The description adds no new parameter-level meaning, which matches the baseline of 3 for high schema coverage.

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 names the exact resource (/llms-mcp-web.txt), states what it is (browser WebMCP catalog), and explicitly distinguishes this tool from the streamable-http endpoint and HTTP /mcp. This makes the tool's identity clear and separates it from siblings like get_llms_mcp_server and get_llms_txt.

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

Usage Guidelines3/5

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

The description gives implied usage context: it is for fetching the browser WebMCP catalog via document.modelContext, and it explicitly says it is not the streamable-http endpoint. However, it does not name any sibling tool as an alternative or state concrete conditions for when to choose this tool over related get_* tools.

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.

Resources

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