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chrischall

myhotlunchbox-mcp

by chrischall

mhlb_create_order

Add a lunch order to the cart after user confirmation. Provide the order form model with desired quantities, review the preview, and approve to proceed.

Instructions

Place a lunch order into the cart. Call mhlb_get_order_form first and send that model back with quantities set. This adds to the cart — it does not pay; use mhlb_checkout for that. Asks the user to confirm first: a confirmation prompt where the client supports one; otherwise the first call returns a preview and a confirmToken, and only a repeat call with that token proceeds (see MCP_CONFIRM_MODE). NOTE: this write is UNVERIFIED — its request shape was derived from the web app’s compiled API client but has not been exercised against a live account. Inspect the confirmation preview before approving it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orderYesThe order model, as returned by mhlb_get_order_form / mhlb_get_order, with quantities and options edited.
confirmTokenNoONLY for the two-step confirmation fallback (a client without MCP elicitation). The confirmToken from this same tool's phase-1 "confirmation-required" response, passed back ONLY after the user has seen that preview and explicitly approved it in chat — never on the first call, never invented, never reused. Call again with the same arguments. Ignored when the client supports elicitation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.2.1
    • removedInput schema / properties / confirm
      Removed value: -{
      -  "description": "Must be true to proceed. Without this, the tool returns a preview.",
      -  "type": "boolean"
      -}
    • addedInput schema / properties / confirmToken
      Added value: +{
      +  "description": "ONLY for the two-step confirmation fallback (a client without MCP elicitation). The confirmToken from this same tool's phase-1 \"confirmation-required\" response, passed back ONLY after the user has seen that preview and explicitly approved it in chat — never on the first call, never invented, never reused. Call again with the same arguments. Ignored when the client supports elicitation.",
      +  "type": "string"
      +}
  2. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  3. First observedv0.2.0

TDQS

A4.6/5.0
Behavior5/5

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

Beyond what readOnlyHint/destructiveHint provide, the description discloses the confirmation requirement, the two-step preview/confirmToken fallback behavior, and the unverified write status. The warning to inspect the preview before approving is especially valuable context.

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?

Every sentence earns its place: goal, prerequisite, payment exclusion, confirmation protocol, and risk caveat. The information is front-loaded and there is no filler or repetition of schema content.

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 mutation tool with no output schema, the description covers the invocation workflow, confirmation behavior, and trust caveat thoroughly. The only minor gap is that it does not describe what the final successful response contains, but the unverified-write warning makes that omission reasonable.

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 the schema already documents the order model and confirmToken semantics. The description reinforces the quantity-editing workflow and repeat-call token rule but adds little meaning beyond the structured parameter descriptions.

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?

The description states a specific verb-resource pair ('Place a lunch order into the cart') and clearly distinguishes this tool from mhlb_checkout, mhlb_get_order_form, mhlb_update_order, and mhlb_delete_order. It also names the prerequisite get_order_form flow, making its role unmistakable.

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?

It gives explicit direction to call mhlb_get_order_form first, send the returned model back with quantities set, and use mhlb_checkout for payment instead. It also explains both confirmation-mode invocation paths, so the agent knows exactly when and how to call this tool versus alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.