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get_monthly_books_review

Read-only

Month-end summary of the user's books for one calendar month: income recorded, money spent, net, top spending categories and merchants, plus alerts for anything unusual that month. Examples: 'how did last month go', 'close out my books for June', 'monthly review', 'what did I make and spend in May'. Defaults to the last completed month. Figures come from the user's own recorded data; advisory notes are estimates, not tax advice. closeReadiness summarizes current recorded-book checks and Action Needed categories with authenticated app links. Explain unknown coverage and limitations; it does not close books or certify tax completeness.

Input Schema

NameRequiredDescriptionDefault
periodNoCalendar month in YYYY-MM format. Defaults to the last completed month.
clientEmailNoAccepted client's account email (accountants only).

Output Schema

NameRequiredDescriptionDefault
dataNo
messageNo
successYes
closeReadinessNo

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
    • addedOutput schema / properties / closeReadiness
      Added value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "actionNeeded": {
      +      "items": {
      +        "additionalProperties": true,
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "checks": {
      +      "additionalProperties": {
      +        "enum": [
      +          "ready",
      +          "needs_action",
      +          "blocked",
      +          "unknown",
      +          "not_applicable"
      +        ],
      +        "type": "string"
      +      },
      +      "type": "object"
      +    },
      +    "status": {
      +      "enum": [
      +        "ready",
      +        "needs_action",
      +        "blocked",
      +        "unknown"
      +      ],
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "data": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "success": {
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "success"
      +  ],
      +  "type": "object"
      +}
  4. 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
  5. First observed

TDQS

A4.3/5.0
Behavior5/5

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

This is highly transparent. The description explicitly warns that advisory notes are 'estimates, not tax advice' and states that the tool 'does not close books or certify tax completeness.' This crucial context far exceeds what the readOnlyHint annotation provides.

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 description is long because it attempts to cover definition, usage examples, and legal disclaimers in one block. While comprehensive, it sacrifices conciseness for exhaustive explanation.

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 complexity of financial summaries, the description is remarkably complete. It covers scope, limitations, output intent (summary and alerts), and even provides specific example prompts, ensuring an agent can handle various user queries.

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 coverage is 100%, meaning the schema itself is robust. The description merely reinforces the schema's descriptions and the implied default behavior of the 'period' parameter, thus meeting the baseline score.

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 clearly states the tool provides a 'Month-end summary' encompassing specific financial metrics like income, spending, net, categories, and alerts. This comprehensive scope distinguishes it from simpler sibling tools like get_spending_summary.

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 provides numerous clear examples of user intent ('how did last month go', 'close out my books for June'), which serves as strong guidance for when to use the tool. It also clarifies the default behavior, using the last completed month.

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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