ikeytz – Schlüsseldienst Ludwigsburg

Get Page Summary

get_page_summary

Read-only

WHAT: Stub pointer only — NOT the page body. summary says to use ai-pages or HTML. RETURNS path (locale prefix stripped). USE get_ai_page or get_serp_snippet for real text. Required path.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

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	Path without locale prefix
`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.
`locale`	No	Locale actually used for URLs (args.locale or de).
`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.
`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.

TDQS

A4.2/5.0

Behavior4/5

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

Beyond the readOnlyHint annotation, the description discloses that the tool is only a stub, does not return page body content, and returns a path with the locale prefix stripped. This is meaningful behavioral context. Error conditions and exact output format are not discussed, but the output schema likely covers return structure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded with 'WHAT', but several fragments are cryptic, such as 'summary says to use ai-pages or HTML' and the trailing 'Required path.' These add confusion rather than clarity, even though the overall length is appropriate.

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?

For a zero-parameter, read-only tool with an output schema, the description covers the tool's purpose, return value, and alternatives. The 'Required path' note is ambiguous, but it does not prevent correct use because there are no input parameters.

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

Parameters4/5

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

The schema has zero parameters and 100% coverage, so there is no parameter information for the description to add. A score of 4 is appropriate for a zero-parameter tool where parameter semantics are not applicable.

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 states exactly what the tool does: it is a stub pointer that returns a path, not the page body. It explicitly contrasts itself with get_ai_page and get_serp_snippet, making its distinct role among siblings clear despite the possibly misleading title.

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 explicitly directs agents to use get_ai_page or get_serp_snippet when real text is needed, which establishes the main alternative. It does not fully articulate every scenario for using this stub pointer, but 'stub pointer only' and 'RETURNS path' make the intended use reasonably clear.

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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