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Read Orders

read_orders
Read-onlyIdempotent

Read ticket sales orders for the provided event. Dispatch via action. Use read_tickets for catalog/config, and read_analytics registrations for revenue and sales trends. Required event_id must be the event UUID returned by search_events.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered externally. The description adds useful provenance (event_id must be the UUID from search_events) but says nothing about result volume, pagination behavior, or what each action returns — and with an output schema present, the return-shape gap is forgivable.

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?

Front-loaded with the core purpose and only four short sentences. Slight awkwardness in "read_analytics registrations" and the mid-sentence action note interrupts flow, but nothing is filler.

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 two-branch polymorphic read tool with a rich schema and an output schema, the description covers purpose, alternatives, and ID provenance. The remaining gap is the semantics of the two action branches, which an agent must infer from the enum names alone.

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 reported at 100%, so the baseline is 3. The description adds meaning for `action` (it is the dispatch discriminator for the oneOf branches) and pins `event_id` to search_events output, but it doesn't explain what the two action values do or what the filter params (status, utm_*, coupon_code_ids, ticket_type_ids) select.

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 ("Read ticket sales orders") scoped to a single event, and explicitly names the two sibling tools that cover adjacent domains (read_tickets for catalog/config, read_analytics for revenue/sales trends). An agent can distinguish it from siblings without opening a schema.

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 routing guidance: use read_tickets for catalog/config and read_analytics for revenue and sales trends, implying read_orders is for order-level records. It stops short of an explicit "do not use this for X" exclusion or guidance on choosing between the list_orders and get_orders_metadata actions.

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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