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scan_gmail

Trigger a background Gmail scan to discover and process receipt emails from the last ~60 days (default). Runs asynchronously — returns immediately, user gets an email summary when done. Like clicking "Find Receipts in Gmail" in the UI. For whole PAST YEARS (e.g. 2023, or 2020-2022) use scan_gmail_years instead; to check a scan's progress use get_scan_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoOptional: explicit end date (YYYY-MM-DD)
startDateNoOptional: explicit start date (YYYY-MM-DD) instead of lookbackDays
accountEmailNoOptional: which Gmail account to scan
lookbackDaysNoHow many days back to scan (default 60, max depends on subscription)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
statusNo
messageNo
successYes
_metadataNo
sessionIdNo
orchestratedNo
submissionIdNo
scanInProgressNo
spreadsheetUrlNo
reviewExpensesUrlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "_metadata": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "data": {
      +      "additionalProperties": true,
      +      "type": "object"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "orchestrated": {
      +      "type": "boolean"
      +    },
      +    "reviewExpensesUrl": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "scanInProgress": {
      +      "type": "boolean"
      +    },
      +    "sessionId": {
      +      "type": "string"
      +    },
      +    "spreadsheetUrl": {
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "status": {
      +      "type": "string"
      +    },
      +    "submissionId": {
      +      "type": "string"
      +    },
      +    "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. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The description discloses key behavioral traits not visible in annotations: it runs asynchronously, returns immediately, and sends an email summary when complete. This substantially informs the agent's expectations beyond the readOnlyHint/openWorldHint/destructiveHint fields.

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 concise, front-loaded with the core action and async behavior, and uses three focused sentences. The UI analogy and sibling routing add value without redundancy.

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?

Given the output schema exists and there are no required parameters, the description covers what an agent needs: the action, async nature, follow-up status tool, and alternative for longer ranges. Minor gaps like interaction between startDate and lookbackDays are already addressed in the schema.

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 four parameters. The description adds a useful default context ('last ~60 days (default)') but does not materially expand parameter meaning beyond what the schema provides.

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 and resource ('Trigger a background Gmail scan to discover and process receipt emails') with a time scope ('last ~60 days'). It clearly differentiates from siblings by naming scan_gmail_years and get_scan_status, which serve different scopes and purposes.

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

Usage Guidelines5/5

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

The description explicitly says when to use this tool versus alternatives: use scan_gmail_years for whole past years and get_scan_status to check progress. It also clarifies the asynchronous behavior so an agent knows not to expect results in the immediate response.

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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