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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

TableJSON 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.
clientEmailNoClient account email. Accountants may use this only for an accepted ExpenseBot client.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
creditsNo
messageNo
refundsNo
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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"
      +}
  2. 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
  3. 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"
  4. 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 destructiveHint=false, and the description reinforces this with 'Read-only: it never scans cards, changes review decisions, or adds rows.' This adds behavioral context beyond the annotations, clarifying what the tool does NOT do. It also discloses default behavior (most recent items, default 25, newest first) and the dateRange narrowing option.

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 compact and front-loaded: it states the resource and scope in the first sentence, provides example queries, and then gives behavioral and parameter context. Every sentence earns its place, and the read-only note is a useful addition without bloat.

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?

The description is complete for a read-only list tool: it covers what is returned, default behavior, narrowing options, and read-only guarantees. The output schema exists, so return values are documented elsewhere. It could mention the clientEmail parameter's purpose, but the schema already covers that, and the description's focus on usage and behavior is sufficient.

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 the schema already documents all three parameters (limit, dateRange, clientEmail). The description adds context for dateRange ('narrow with dateRange') and limit ('default 25, newest first'), but does not add significant meaning beyond the schema. Baseline 3 is appropriate.

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 ('List') and resource ('card refunds, cashback/rewards, and statement credits that ExpenseBot has already recorded'), and clarifies the scope ('either as negative expenses or matched against the original charge'). It also provides example user queries, which makes the tool's purpose immediately recognizable. It distinguishes itself from sibling tools like get_recent_activity or search_expenses by focusing on recorded credits/refunds.

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 for when to use the tool ('did my refund come through', 'show my statement credits', 'was that return recorded') and notes it returns recent items with a default limit and dateRange narrowing. It does not explicitly name alternative tools or state when not to use it, but the examples and scope make usage conditions clear.

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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