Skip to main content
Glama

Dayze — Life Context

Import Rideshare Gmail

import_rideshare_gmail

Preview or import completed Lyft and Uber receipts as deduplicated origin-to-destination movements plus linked expenses. dry_run returns the exact proposed records without writing. Requires mail.read on an API key or non-ChatGPT OAuth connection. ChatGPT profiles do not grant mail.read or list this tool. ($0.15; API key required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNo
queryNo
accountNo
dry_runNo
request_idNoClient idempotency key (retries return original result).
max_resultsNo
idempotency_keyNoAlias for request_id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
accountNoThe Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.
resultsYes
scannedYes
skippedYes
importedYes
duplicatesYes
provenanceNoWhich connector wrote the record and which connected Dayze account received it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / account
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "The Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.",
      +  "properties": {
      +    "display_name": {
      +      "description": "Account display name.",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "handle": {
      +      "description": "Account handle, e.g. @goh.",
      +      "type": [
      +        "string",
      +        "null"
      +      ]
      +    },
      +    "note": {
      +      "description": "How to disclose the account to the user.",
      +      "type": "string"
      +    },
      +    "qa_fixture": {
      +      "description": "True for a known QA test account: its records are fixture data, not a real life.",
      +      "type": "boolean"
      +    }
      +  },
      +  "required": [
      +    "handle",
      +    "display_name",
      +    "qa_fixture",
      +    "note"
      +  ],
      +  "type": "object"
      +}
    • addedOutput schema / properties / provenance
      Added value: +{
      +  "additionalProperties": false,
      +  "description": "Which connector wrote the record and which connected Dayze account received it.",
      +  "properties": {
      +    "account": {
      +      "additionalProperties": false,
      +      "description": "The Dayze account this data belongs to. With more than one Dayze connection, name it in the answer.",
      +      "properties": {
      +        "display_name": {
      +          "description": "Account display name.",
      +          "type": [
      +            "string",
      +            "null"
      +          ]
      +        },
      +        "handle": {
      +          "description": "Account handle, e.g. @goh.",
      +          "type": [
      +            "string",
      +            "null"
      +          ]
      +        },
      +        "note": {
      +          "description": "How to disclose the account to the user.",
      +          "type": "string"
      +        },
      +        "qa_fixture": {
      +          "description": "True for a known QA test account: its records are fixture data, not a real life.",
      +          "type": "boolean"
      +        }
      +      },
      +      "required": [
      +        "handle",
      +        "display_name",
      +        "qa_fixture",
      +        "note"
      +      ],
      +      "type": "object"
      +    },
      +    "channel": {
      +      "description": "Always mcp_connector.",
      +      "type": "string"
      +    },
      +    "connector": {
      +      "additionalProperties": false,
      +      "properties": {
      +        "kind": {
      +          "description": "oauth or api_key.",
      +          "type": "string"
      +        },
      +        "name": {
      +          "description": "The connected app or API-key label shown to the account owner.",
      +          "type": "string"
      +        }
      +      },
      +      "required": [
      +        "kind",
      +        "name"
      +      ],
      +      "type": "object"
      +    },
      +    "source": {
      +      "description": "chatgpt for ChatGPT OAuth writes; mcp for another OAuth app or API key.",
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "source",
      +    "channel",
      +    "connector",
      +    "account"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations only declare the generic write/non-destructive profile, but the description adds real context: deduplication behavior, exactly what dry_run returns without writing, the required mail.read scope, the profile limitation, and a per-call cost of $0.15. This goes well beyond the annotations, though it does not detail what records are written on a real run.

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 compact sentences, front-loaded with the core action and the preview/write distinction, then auth and cost. Dense but nearly every clause carries needed information; no padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values need not be described, and the description covers auth, cost, and dedup behavior. It remains incomplete on parameter semantics and on how to choose this tool over import_uber_gmail, leaving meaningful gaps for a 7-parameter write tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 29% and 5 of 7 parameters (email, query, account, max_results, and the dry_run flag's interaction) are undocumented in the schema. The description explains dry_run's semantics but leaves email/query/account/max_results unexplained, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (import/preview) and resource (completed Lyft and Uber receipts) and describes the transformation into deduplicated origin-to-destination movements plus linked expenses. It does not distinguish itself from the closely overlapping sibling import_uber_gmail, so an agent cannot tell from the description alone which to prefer.

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

Usage Guidelines3/5

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

It clearly explains the dry_run preview-vs-write choice and states auth prerequisites (mail.read via API key or non-ChatGPT OAuth; ChatGPT profiles don't list it). However, it gives no routing guidance against the sibling import_uber_gmail, which appears to cover the same Uber source, leaving the main alternative unaddressed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.