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Send an inquiry to Kessen

send_inquiry

Sends a request (quote, consultation, spare parts, machine inquiry) to the sales team of Kessen Maschinenbau by e-mail. Only use it on behalf of a real person who has explicitly confirmed the content and agreed that their contact data is sent to Kessen. Kessen answers personally by e-mail or phone.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFull name of the person making the inquiry
emailYesE-mail address for the reply
phoneNoPhone number for callback (optional)
companyNoCompany (optional)
messageYesThe request: product, containers/formats, output per minute, line situation, deadline (20 to 5000 characters)
languageNoLanguage of the results: de (German, default) or en (English)
machine_urlNoURL of the machine page the inquiry refers to (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and openWorldHint=false, so the write profile is already known. The description adds genuinely useful context beyond that: the request leaves the system as an e-mail to a third party, requires explicit human consent, and the answer arrives personally by e-mail or phone (i.e., asynchronous, no immediate programmatic result). It does not discuss failure modes or rate limits, hence not a 5.

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?

Three short sentences, front-loaded with the core action, followed by the consent prerequisite and the response path. No sentence is redundant, and nothing is buried.

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?

No output schema exists, and the description compensates by explaining that the answer comes back by e-mail or phone rather than as a structured return value. Combined with the consent gate and the covered parameters, an agent has enough to invoke it correctly; only the lack of any error or delivery-failure note keeps it from a 5.

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 every field is already documented, giving a baseline of 3. The description adds only the inquiry categories (quote, consultation, spare parts, machine inquiry), which hints at message content but adds no syntax or format detail beyond 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 (sends), resource (a request/inquiry), the recipient (Kessen Maschinenbau sales team), and the channel (e-mail), plus the inquiry categories it covers. It is unambiguously distinct from the read-only siblings get_company_profile, read_page, and search_machines.

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 states the precondition for use: only on behalf of a real person who has confirmed the content and consented to their contact data being sent. This is a clear when-to-use gate that an agent cannot infer from the schema, and the read-only siblings are obviously not alternatives for this action.

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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