Lunch Money MCP Server

bulkUpdateTransactions

Update multiple financial transactions simultaneously by modifying categories, tags, notes, or status in bulk to maintain consistent records.

Instructions

Bulk update multiple transactions with the same changes (category, tags, notes, status)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "transaction_ids": "<transaction_ids>"
    },
    "name": "bulkUpdateTransactions"
  }
}

Input Schema

Name	Required	Description	Default
`transaction_ids`	Yes
`category_id`	No
`tags`	No
`notes`	No
`status`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jan 28, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is an update operation but doesn't mention permission requirements, whether changes are reversible, rate limits, error handling, or what happens to unspecified fields. For a mutation tool affecting multiple transactions, this leaves significant behavioral gaps.

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?

The description is a single, efficient sentence that front-loads the core purpose. Every word contributes meaning without unnecessary elaboration, though it could be slightly more structured by separating purpose from parameter context.

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

Completeness2/5

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

For a mutation tool with 5 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain return values, error conditions, or important behavioral aspects like whether updates are atomic or partial failures occur. The description should do more given the complexity.

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 0%, so the description must compensate. It lists the fields that can be updated (category, tags, notes, status), which maps to 4 of the 5 parameters, but doesn't explain the 'transaction_ids' parameter or provide format details beyond what's implied. It adds some value but doesn't fully 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?

The description clearly states the verb ('bulk update') and resource ('multiple transactions'), specifying it applies the same changes to all specified transactions. It distinguishes from sibling 'updateTransaction' by emphasizing bulk operations, though it doesn't explicitly name the sibling for comparison.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'updateTransaction' for single updates or other sibling tools. It mentions applying 'the same changes' but doesn't clarify prerequisites, constraints, or typical use cases beyond the basic operation.

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