Skip to main content
Glama

Create order intent

create_order_intent

Place an order intent for one to ten records (quantity, delivery market, optional date and note, the buyer's organisation and email). The Bourse routes it to each maker; verified makers answer with offers, and a maker's own Brand Agent address comes back with the routing. The email stays private: it is the buyer's key to read offers and accept one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNooptional note to the makers
buyerYesthe buying organisation and its email (kept private; the key to read offers and accept one)
marketYesdelivery market (country)
quantityYesquantity with its unit, e.g. 600 bottles (75 cl)
needed_byNoYYYY-MM-DD
record_idsYesone to ten record ids to order, e.g. ["es-bev:000123"]

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed5 schema fields changed
    • addedInput schema / properties / buyer / description
      Added value: +"the buying organisation and its email (kept private; the key to read offers and accept one)"
    • addedInput schema / properties / buyer / properties / email / description
      Added value: +"the buyer's email"
    • addedInput schema / properties / buyer / properties / organisation / description
      Added value: +"the buying organisation's name"
    • addedInput schema / properties / note / description
      Added value: +"optional note to the makers"
    • addedInput schema / properties / record_ids / description
      Added value: +"one to ten record ids to order, e.g. [\"es-bev:000123\"]"
  2. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare write/open-world/non-idempotent, so the bar is lower; the description still adds meaningful post-conditions (routing to each maker, verified makers respond with offers, maker address returned) and an important privacy/auth guarantee for the email. It doesn't cover rejection paths or what the immediate response contains, keeping it from 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.

Conciseness4/5

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

Three sentences, front-loaded with the action and scope, then consequences. Dense but each sentence carries information; only the parenthetical field list mildly duplicates the schema.

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?

A nested, open-world mutation with no output schema needs side-effect disclosure, and the description supplies routing behaviour plus the email-privacy invariant. Remaining gaps – what the immediate call returns and any limits on subsequent offer reads – are minor in this domain.

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 all six parameters including the nested buyer object. The description restates the fields and reinforces the email's role, but adds no syntax or format detail beyond what the schema provides, so the baseline applies.

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 ('Place an order intent'), names the scope (one to ten records) and enumerates the inputs, and distinguishes it from sibling reads like get_offers/get_order_route by describing the routing that follows. An agent can tell this is the initiating write in the offer workflow.

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?

The description situates the tool in a workflow – orders go to makers, verified makers answer with offers, and the email is the key to read offers and accept one – which implies when to call it and what to do next. It stops short of an explicit when-not or naming a specific alternative tool.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.