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Glama

PocketLedger MCP

Get spending summary

get_summary
Read-onlyIdempotent

Return a spending summary for expenses in today, yesterday, this week, this month, this year, or a custom date range. Do not create income, transfers, or financial advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodYesPreset reporting period. Use 'custom' only together with date_from and date_to.
date_toNo
timezoneNoIANA timezone used to interpret dates and relative words like today or yesterday, e.g. 'UTC'.
date_fromNo
reporting_currencyNoISO 4217 currency code, e.g. USD, EUR, GBP.

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 and destructiveHint=false. The description adds that it returns a spending summary and warns against creating records, providing some behavior beyond annotations but not extensive.

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?

Two efficient sentences: the first defines the core function, the second sets boundaries. No fluff or redundancy.

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?

Despite having an output schema, the description omits guidance on using custom date ranges, timezone, or reporting_currency. For a tool with 5 parameters, more context is needed to ensure correct invocation.

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 60%. The description adds no parameter-level meaning beyond what the schema provides (e.g., date_from and timezone lack details). It does not compensate for the missing parameter descriptions.

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 returns a spending summary for expenses, listing preset periods and custom date range. This distinguishes it from sibling tools that deal with mutations, logs, or reports.

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 instruction ('Do not create income, transfers, or financial advice') but lacks explicit guidance on when to use this tool versus alternatives. Usage is implied through the purpose but not detailed.

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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