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Leave a message for a business or organization

leave_message

Drop the user's feedback (a suggestion, a problem or a compliment) into the private suggestion box of any business or organization on SuggestionBox.tips. Private between the user and them. Confirm the wording with the user before sending. Give the website when you know it; otherwise its name and city.

Input Schema

NameRequiredDescriptionDefault
refNoOptional order or booking number the message is about.
cityNoCity, needed when there is no website.
kindYes
textYesThe message, in the user's words.
emailNoOptional. The user's email, only if they want to hear back.
businessYesIts website (best) or its name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / business / description
      Previous value: -"The business website (best) or its name."New value: +"Its website (best) or its name."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the write/idempotency/open-world profile, and the description adds genuinely new behavior: the message is private between the user and the business, and the wording must be confirmed before sending (implying an irreversible send). It doesn't cover delivery timing, failures, or whether the business can reply beyond the optional email.

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?

Four short sentences, front-loaded with the action and followed by constraints; no filler. The privacy sentence slightly overlaps the 'private suggestion box' phrasing, a minor redundancy.

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 no output schema, the description carries the return burden and adequately conveys that the message lands privately in the business's box. A six-parameter mutation tool is well covered, though it says nothing about confirmation, delivery, or error outcomes.

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 coverage is already 83%, and the description still adds routing logic: use the website when known, else name plus city, which clarifies the business/city relationship. 'Suggestion, a problem or a compliment' also glosses the kind enum's idea/problem/loved values. It adds meaning beyond the schema rather than restating it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb and resource: dropping the user's feedback into a private suggestion box on SuggestionBox.tips. The channel (suggestion, problem, compliment) is stated, making the intent unambiguous. It does not explicitly contrast itself with the sibling find_business, so it stops short of full sibling differentiation.

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?

Gives clear preconditions: confirm the wording with the user before sending, and supply the website when known, otherwise the name and city. It does not name find_business as the lookup alternative or state when not to use this tool, but the operational context is 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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