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What became of an order or a booking placed through this door

order_status
Read-only

The status of an order_id from place_order or book_slot, asked of the platform again when it is not final (paid? confirmed? declined by the owner?). A Shopify cart link answers unknown — payment is on Shopify’s side and the shop does not report it here. Free. Follow the server instructions «HOW TO USE THE VERSUM CATALOG»: results are candidates, not proof; keep reading, quoting, requesting and ordering separate; nothing is sent to an owner, booked, ordered or paid without the user’s permission.

Input Schema

NameRequiredDescriptionDefault
order_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the readOnly/openWorld/non-destructive annotations, it discloses that the call is free, that it re-queries the platform rather than returning a cached snapshot, that only non-final outcomes are worth asking about, and that Shopify-originated carts always answer `unknown`. Return shape is not described, but there is no output schema to lean on.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The first three sentences are tight and front-loaded with the core semantics and the Shopify caveat. The trailing paragraph quoting the catalog instructions is generic boilerplate and, while safety-relevant, dilutes an otherwise compact definition.

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 single-parameter read of unknown-vs-final state, the description covers cost, freshness, the Shopify blind spot, and the consent boundary around acting on results. Only the enumeration of possible status values is left unspecified, which is a modest gap with no output schema present.

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 description coverage is 0%, so the description carries the burden. It supplies the crucial provenance for order_id — it must come from place_order or book_slot — which the schema's bare uuid format does not convey; the uuid typing itself is left to the schema.

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?

The description states a specific verb+resource: re-reads the platform for the status of an order_id created by place_order or book_slot, naming both producing tools. It does not explicitly contrast itself with the sibling request_status, so an agent must infer the split between order status and request status.

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?

It gives a clear condition for use: call it again when the order is not final (paid? confirmed? declined by the owner?). It also warns that a Shopify cart link will never resolve here. It stops short of naming an explicit alternative for the Shopify case or for final-state polling.

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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