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Kessen company profile

get_company_profile
Read-only

Returns the company profile of Kessen Maschinenbau GmbH: core competence (destackers and lidders for food packaging), all machine series with output figures, design standards, typical applications, partners, what Kessen needs for a quote, and contact data. Call this first to understand what Kessen can do for a food producer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage of the results: de (German, default) or en (English)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety and scope profile is covered. The description adds that the content is a fixed company profile covering capabilities and quote prerequisites, which is useful, but it discloses no rate limits, freshness, or other behavioral traits 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.

Conciseness4/5

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

Front-loaded with the core statement of purpose, followed by a dense but purposeful content inventory and a one-line call to action. No filler sentences, though the long enumeration is slightly list-heavy rather than structured.

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?

With no output schema, the description compensates by enumerating exactly what the response will contain, which is precisely what an agent needs to decide whether to call it. Together with the annotations and a fully documented single optional parameter, nothing material is missing.

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 the single language parameter has an enum documented in the schema, so the description needs to add little. It adds nothing about the language parameter, but the baseline of 3 is appropriate when the schema fully carries parameter documentation.

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 and resource ("Returns the company profile of Kessen Maschinenbau GmbH") and then enumerates the concrete contents: core competence, machine series, output figures, design standards, applications, partners, quote requirements, contact data. An agent immediately knows what this tool yields, and the opening "Call this first" positions it against the sibling tools.

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?

"Call this first to understand what Kessen can do for a food producer" gives explicit ordering guidance and a clear use context. It does not name the alternatives (search_machines, send_inquiry) or state when not to use it, so it stops short of full routing guidance.

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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