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by RPasquale
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Python
Remote

xero_list_invoices

Read-onlyIdempotent

Fetch Xero invoices filtered by status, contact, or date range to locate specific billing records.

Instructions

List invoices in the connected Xero organisation. Supports filtering by status, contact, and date range.

Args: status: One of: DRAFT, SUBMITTED, AUTHORISED, PAID, VOIDED. contact_id: Filter to a specific Xero contact ID. from_date: Start of date range (YYYY-MM-DD). to_date: End of date range (YYYY-MM-DD). project_id: Authenticated Project UUID. project_ref: Exact project correlation reference. connector_account_ref: Project-bound connector account alias. idempotency_key: Stable business-action identity. effect: Required and must be read; Spring verifies it. approval_ref: Approved platform task UUID when resuming a write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effectYes
statusNo
to_dateNo
from_dateNo
contact_idNo
project_idNo
project_refNo
approval_refNo
idempotency_keyNo
connector_account_refNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changedv0.1.1
    • addedInput schema / properties / approval_ref
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Approval Ref"
+}
    • addedInput schema / properties / connector_account_ref
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Connector Account Ref"
+}
    • addedInput schema / properties / effect
      Added value: +{
+  "const": "read",
+  "title": "Effect",
+  "type": "string"
+}
    • addedInput schema / properties / idempotency_key
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Idempotency Key"
+}
    • addedInput schema / properties / project_id
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Project Id"
+}
    • addedInput schema / properties / project_ref
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Project Ref"
+}
    • addedInput schema / required
      Added value: +[
+  "effect"
+]
  2. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already cover read-only, non-destructive, open-world, and idempotent behavior. The description adds useful context beyond annotations by stating that the effect parameter must be 'read' and verified by Spring, and by explaining the meaning of workflow-oriented parameters like idempotency_key and approval_ref. The approval_ref mention of 'resuming a write' is slightly confusing for a read-only tool, but it does not contradict the annotations.

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?

The description is front-loaded with the core purpose in one sentence, followed by a structured argument list. Each line adds semantic value and the length is appropriate for a 10-parameter tool. There is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the high parameter count, the presence of an output schema, and annotations covering safety semantics, the description is complete enough for an agent to invoke the tool correctly. Every parameter is explained, the required effect is clarified, and the output shape is covered by the output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries full parameter documentation. It provides concrete meanings for all 10 parameters, including the status enum values, date format, project UUID, project reference, connector account alias, idempotency key, effect constraint, and approval reference. This far exceeds what the schema alone offers.

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 and resource: 'List invoices in the connected Xero organisation.' It also names the supported filters (status, contact, date range), which makes the tool's purpose immediately distinguishable from sibling tools like xero_get_invoice or xero_list_payments without needing to open their schemas.

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 gives clear context: this is the tool for listing invoices, with optional filtering by status, contact, and date range. It does not explicitly name alternatives or exclusion conditions, but the verb and resource make the primary use case unambiguous.

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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