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concierge_walk

Walk a shop's concierge one turn at a time and get a real quote. Omit walk to start (you get the first question and a walk id); pass walk + answer for each turn. The shop mails the quote at the end, so answer the email question with an address the person you are shopping for actually reads. Deterministic: no model on our side, and the whole conversation is sealed as a receipt the shop owner sees.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shopYesthe shop's slug
walkNothe walk id from a previous call — omit to start a new conversation
answerNoyour answer to the question the last call asked

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations, discloses that the shop mails the quote (side effect), that the tool is deterministic (no model on our side), and that the conversation is sealed as a receipt visible to the shop owner. No contradiction with annotations.

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 sentences pack the purpose, protocol, and behavioral warnings with zero filler. Main purpose is front-loaded, and each sentence earns its place.

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 stateful multi-turn tool with no output schema, the description covers how to start, how to continue, and the terminal side effect (mailing). It does not enumerate error conditions or exact response shape, but the essential flow is complete.

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?

Adds meaning to the parameters by explaining the relationship: omit `walk` to start, pass `walk` and `answer` together for each turn. It also clarifies that the `answer` to the email question must contain a real readable address. The schema only describes fields individually, so this is valuable.

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 (walk) and resource (shop's concierge) with a clear goal (get a real quote). The start/continue protocol distinguishes it from sibling tools like concierge_ask and concierge_document.

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 explicit step-by-step for starting (omit `walk`) and continuing (pass `walk` + `answer`), plus the warning about the email address. It does not explicitly name alternatives or when-not-to-use, 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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