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Glama

PocketLedger MCP

Search transactions

search_transactions
Read-onlyIdempotent

Search a user's saved expense transactions by date range, category, merchant, keyword, currency, deleted status, and limit. Do not use for investment advice, income creation, bank credential storage, or calendar tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
cursorNo
periodNoPreset reporting period. Use 'custom' only together with date_from and date_to.
date_toNo
keywordNo
categoryNoExpense category name selected from list_categories when possible.
currencyNoISO 4217 currency code, e.g. USD, EUR, GBP.
merchantNoMerchant or payee name in plain text, preferably in English when the user asks to save in English.
timezoneNoIANA timezone used to interpret dates and relative words like today or yesterday, e.g. 'UTC'.
date_fromNo
include_deletedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, so the description adds no behavioral context beyond listing filter types. No contradiction.

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?

Two sentences, no redundancy, but the second sentence about prohibited uses feels slightly misplaced for this tool's core function.

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?

For a tool with 11 parameters, pagination (cursor) is not mentioned in the description, though an output schema exists. The description is adequate for basic understanding but misses key context.

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 description coverage is only 45%, and the main description merely lists filter categories without adding syntax, format, or parameter-specific details. Parameters like cursor, date_from, and include_deleted lack schema descriptions and are not elaborated.

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 'Search a user's saved expense transactions' with specific filter parameters, distinguishing it from sibling tools like delete_transaction, log_transaction, etc.

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?

The description includes a negative directive ('Do not use for investment advice...'), but does not provide positive guidance on when to use this tool versus alternatives like get_summary or get_report.

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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TDQS

A3.7/5.0
Disambiguation4/5

Tools are mostly distinct with clear purposes. Potential confusion between get_report and get_summary or log_transaction and record_expense is mitigated by detailed descriptions explaining their specific use cases.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., delete_transaction, get_report, parse_expense_text), making the set predictable and easy to navigate.

Tool Count5/5

With 13 tools covering CRUD operations, account management, and utility functions, the count is well-scoped for a personal expense tracking server without being excessive.

Completeness4/5

The tool surface covers essential expense lifecycle operations (create, read, update, delete, restore) and account settings, though a direct get_transaction by ID or bulk operations are missing but not critical.

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