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mindmelt – B2B agency Frankfurt

find_pages

Durchsucht den vollstaendigen Seitenindex von mindmelt.de (pages.json, alle Sitemap-URLs inkl. Sub-Brands und englischer Version) ueber Title, H1, Meta-Description und URL.

query: Suchbegriff(e), z.B. "Relaunch", "KI Schulung", "Healthcare". Leer = alle Seiten.
sub_brand: mindmelt | mindmelt-ai | mindmelt-studio | mindmelt-speaker | mindmelt-boost | mindmelt-en
lang: de | en
type: page | blog | blog-index
Liefert url, title, description, markdown-URL, hreflang-Alternativen und zugeordnete capabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNo
typeNo
queryNo
sub_brandNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations provided, so the description carries full burden. It discloses what the tool searches and what it returns (url, title, description, markdown-URL, hreflang-Alternativen, capabilities), which is helpful. However, it doesn't describe pagination, result limits, or performance characteristics for a search tool.

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?

Well-structured with a clear first sentence describing the tool's function, followed by parameter documentation in a list format. However, it could be slightly more concise; the parameter explanations are necessary given the 0% schema coverage.

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?

Given no output schema, no annotations, and four parameters with 0% schema coverage, the description does a good job documenting parameters and return fields. It is largely complete, though it could mention result limits or pagination behavior for a search tool.

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?

Schema description coverage is 0%, so the description must compensate. It documents all four parameters: query (with examples and default behavior), sub_brand (with enumerated values), type (with possible values), and lang (with values). It adds meaningful semantics like 'Leer = alle Seiten' and specific allowed values that aren't in 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?

States a specific verb (durchsucht) and resource (vollstaendiger Seitenindex von mindmelt.de ueber Title, H1, Meta-Description und URL). Specifies which data sources are searched (pages.json, alle Sitemap-URLs inkl. Sub-Brands und englischer Version), clearly distinguishing it from sibling tools like check_fit or get_company_profile.

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?

Implies usage context (searching the page index) but doesn't explicitly state when to use this tool versus alternatives like check_fit or get_company_profile. No exclusions or conditions for choosing this over siblings.

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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