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get_credits_refunds

Read-only

List card refunds, cashback/rewards, and statement credits that ExpenseBot has already recorded — either as negative expenses or matched against the original charge. Examples: 'did my refund come through', 'show my statement credits', 'was that return recorded'. Returns the most recent items (default 25, newest first); narrow with dateRange. Read-only: it never scans cards, changes review decisions, or adds rows.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results to return (default 25, max 100).
dateRangeNoOptional open-ended or closed window to narrow results. Supply startDate, endDate, or both; supplied bounds are inclusive YYYY-MM-DD dates.
clientEmailNoAccepted client's account email (accountants only).

Output Schema

NameRequiredDescriptionDefault
dataNo
creditsNo
messageNo
refundsNo
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": {
      +    "credits": {
      +      "items": {
      +        "additionalProperties": true,
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "data": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "refunds": {
      +      "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 narrow results. Both bounds inclusive, YYYY-MM-DD."New value: +"Optional open-ended or closed window to narrow results. 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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this with concrete negative guarantees — no card scanning, no review-decision changes, no row insertion — which are more actionable than the hints alone. It also discloses result ordering and the default window (25, newest first), which annotations cannot convey.

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-loads what the tool lists, then examples, then result behavior and safety guarantees — a sensible order. Slightly dense in one paragraph, but every clause (examples, ordering, read-only guarantees) carries information.

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?

With an output schema present and full parameter documentation, the description need not explain return shapes; it still covers scope, ordering, and safety. It omits mention of the clientEmail accountant path, which the schema covers, so nothing critical 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 limit, dateRange bounds, and clientEmail are already fully documented. The description only adds the 'newest first' ordering and restates the default of 25, adding modest value beyond the schema.

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 (list) and a precise resource (card refunds, cashback/rewards, statement credits already recorded), plus how they are recorded (negative expenses or matched to original charge). The quoted user-intent examples ('did my refund come through', 'was that return recorded') make the scope unmistakable against generic search tools like search_expenses.

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 concrete example queries that trigger it and tells the agent to narrow with dateRange. The closing clause implicitly routes scanning/mutating cases elsewhere ('never scans cards, changes review decisions, or adds rows'), though it does not name the alternative tools (scan_gmail, correct_expenses) explicitly.

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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