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List orders

polar_list_orders
Read-only

List orders, filtered by customer, product, subscription, status or a date window. Polar: GET /v1/orders/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number.
limitNoPage size, 1-100.
statusNoOnly orders in this state, e.g. paid, pending, refunded.
product_idNoOnly orders for this product.
customer_idNoOnly this customer's orders.
created_afterNoISO-8601 lower bound on creation time.
created_beforeNoISO-8601 upper bound on creation time.
organization_idNoRestrict to this organisation id. Needed when the token spans several organisations.
subscription_idNoOnly orders from this subscription.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already establishes this as a safe read. The description adds value by naming the underlying endpoint (GET /v1/orders/), but does not disclose pagination behavior (page/limit), default page size, or result ordering. With annotations carrying the safety profile, this is adequate but thin.

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?

Two short clauses, front-loaded with the action and resource, followed by the filter scope and endpoint. No filler or redundancy.

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 read-only, zero-required-parameter list tool with full schema coverage, the description covers purpose and filtering scope adequately. It omits pagination expectations (default limit, total counts) and result ordering, which would fully round it out, but nothing essential to invoke it correctly is missing.

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 all nine parameters are already annotated in the schema. The description restates the filter categories at a high level (customer, product, subscription, status, date window) without adding format or syntax detail beyond the schema, so baseline 3 applies.

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?

States a specific verb (List) and resource (orders) with the available filter dimensions enumerated. It is clearly distinguishable from the singular polar_get_order, but it does not explicitly name any sibling as the alternative path, so it stops short of full differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The filter list implies the intended use case (querying the order collection by customer/product/subscription/status/date), but there is no explicit when-to-use-vs-when-not guidance nor a pointer to polar_get_order for single-order retrieval. Usage is inferable rather than stated.

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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