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lightbulb-mcp

by RPasquale
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Python
Remote

xero_list_expense_claims

Read-onlyIdempotent

List expense claims from Xero through the Lightbulb MCP connector, returning claim details for review and processing.

Instructions

Xero connector operation list_expense_claims (platform tool xero.list_expense_claims).

Routes only through the exact project/account governed connector authority.

Args: arguments: JSON string of arguments for the connector operation. 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
argumentsNo{}
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

C2.6/5.0
Behavior3/5

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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint, so the description does not need to restate those. It adds a useful governance/auth constraint and clarifies that effect must be 'read'. However, it does not disclose behavior such as pagination, filtering capabilities, data scope, or rate limits; the 'approval_ref ... when resuming a write' note is also potentially confusing for a read-only tool.

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 Args list is compact and scannable, and the routing constraint is a single sentence. However, the opening line redundantly restates the tool name and platform tool identifier, adding no information. The structure is serviceable but not tight.

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

Completeness2/5

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

Despite having an output schema and strong annotations, the description never states the core purpose of the tool, making it incomplete for an agent deciding when to call it. It also does not explain how to populate the 'arguments' JSON string or which routing parameters are actually required. The parameter list is detailed, but the missing functional context is a significant gap.

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 coverage is 0%, so the description carries the full burden, and it largely succeeds: every parameter gets a one-line semantic gloss, including the 'effect' constraint and the routing-related fields. This goes well beyond the bare input schema. The 'arguments' parameter remains vague ('JSON string of arguments for the connector operation' is circular), but the overall parameter documentation is genuinely helpful.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens by restating the tool name as 'Xero connector operation list_expense_claims' rather than explaining that it lists expense claims from Xero. The only behavioral hint is the name itself; the description provides no domain-level statement of what the operation returns or does. This is essentially a tautology of the tool name.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool compared to alternatives like xero_create_expense_claim, xero_update_expense_claim, or even expensify_list_expenses. The routing constraint ('Routes only through the exact project/account governed connector authority') describes a precondition, not a usage condition. An agent must infer when this tool is appropriate from the name alone.

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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