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get_expense_splits

Read-only

Show how an expense was split across categories, clients, properties, or business vs personal portions. Returns the single parent payment with its nested allocation lines — split lines are never counted as separate expenses, so totals stay correct. Examples: 'how is that expense split', 'what was the business portion of that bill', 'show the allocation for this receipt'. Read-only — splits are edited in ExpenseBot's Review workspace.

Input Schema

NameRequiredDescriptionDefault
limitNoMax parent expenses to return (default 25, max 100).
dateRangeNoOptional open-ended or closed window to search for split expenses. Supply startDate, endDate, or both; supplied bounds are inclusive YYYY-MM-DD dates.
onlySplitNoReturn only expenses with active splits (default true). Set false to inspect an unsplit Receipt ID.
receiptIdNoOptional Receipt ID for one expense.
clientEmailNoAccepted client's account email (accountants only).

Output Schema

NameRequiredDescriptionDefault
dataNo
splitsNo
messageNo
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / clientEmail / description
      Previous value: -"Client account email. Accountants may use this only for an accepted ExpenseBot client."New value: +"Accepted client's account email (accountants only)."
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "data": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "splits": {
      +      "items": {
      +        "additionalProperties": true,
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "success": {
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "success"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": true,
      -  "description": "Standard ExpenseBot tool result envelope. `message` is the human-readable summary the AI cites; `data` is the structured payload (totals, breakdowns, ids, etc.). On failure, `success` is false and `error` carries a code/message/hint triple.",
      -  "properties": {
      -    "data": {
      -      "additionalProperties": true,
      -      "description": "Structured payload. Shape varies per tool — common keys: total, breakdown, comparison, sampleMeta, ids, expenseId, reportId, signupUrl, results.",
      -      "type": "object"
      -    },
      -    "error": {
      -      "additionalProperties": true,
      -      "description": "Present only when success === false.",
      -      "properties": {
      -        "code": {
      -          "type": "string"
      -        },
      -        "hint": {
      -          "type": "string"
      -        },
      -        "message": {
      -          "type": "string"
      -        }
      -      },
      -      "type": "object"
      -    },
      -    "message": {
      -      "description": "Human-readable result text. Always present on success; prefer rendering this verbatim before any further reasoning.",
      -      "type": "string"
      -    },
      -    "sampleMeta": {
      -      "additionalProperties": true,
      -      "description": "Set when the underlying dataset was truncated. isTruncated=true means the agent saw a sample of `sampleCount` of `totalCount` rows; aggregate totals are still accurate.",
      -      "properties": {
      -        "isTruncated": {
      -          "type": "boolean"
      -        },
      -        "sampleCount": {
      -          "type": "integer"
      -        },
      -        "totalCount": {
      -          "type": "integer"
      -        }
      -      },
      -      "type": "object"
      -    },
      -    "success": {
      -      "description": "False on tool errors; check before reading `data`.",
      -      "type": "boolean"
      -    }
      -  },
      -  "type": "object"
      -}New value: +null
  4. Changed4 schema fields changed
    • addedInput schema / properties / dateRange / additionalProperties
      Added value: +false
    • changedInput schema / properties / dateRange / description
      Previous value: -"Optional window to search for split expenses. Both bounds inclusive, YYYY-MM-DD."New value: +"Optional open-ended or closed window to search for split expenses. Supply startDate, endDate, or both; supplied bounds are inclusive YYYY-MM-DD dates."
    • addedInput schema / properties / dateRange / properties / endDate / format
      Added value: +"date"
    • addedInput schema / properties / dateRange / properties / startDate / format
      Added value: +"date"
  5. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the description earns credit for the substantive additions: results are one parent payment with nested lines, split lines are never counted as separate expenses, and totals remain correct as a consequence. That aggregation semantics is exactly the kind of non-obvious behavior an agent needs, and it is not derivable from 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.

Conciseness4/5

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

Four sentences, front-loaded with the core behavior and aggregation caveat before the example queries. The examples are functional rather than filler, though the read-only sentence partially duplicates the readOnlyHint annotation.

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?

With an output schema present, return-value details are unnecessary; the description covers scope, aggregation semantics, and the read/write boundary. Combined with fully documented parameters, an agent has everything needed to call it correctly.

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%, with limit, dateRange bounds, receiptId, clientEmail and the onlySplit flag all documented in-schema. The description adds no parameter-level detail beyond what the schema provides (it never mentions onlySplit=false for inspecting an unsplit receipt, nor the accountants-only constraint on clientEmail), so baseline 3 applies.

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 (show how an expense was split) and enumerates the split dimensions (categories, clients, properties, business vs personal). The parent-payment-with-nested-allocation framing cleanly distinguishes it from flat listing tools like search_expenses or get_expense_by_id.

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?

Provides three concrete example queries that map directly to invocation, plus an explicit boundary: reads happen here, edits happen in the Review workspace. It stops short of naming sibling tools (e.g., use search_expenses to locate the receipt first, then this to inspect its allocation), so routing is clear but not exhaustively specified.

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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