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BradMorphsters

tuskledger-mcp

query_transactions

Retrieve recent transactions with optional filters for account, category, or date range. Results are ordered by date, most recent first.

Instructions

List transactions matching optional filters. Returns the most recent matches first. Common filter combos: • account_id + start_date + end_date → 'all transactions in my checking account this month' • category='Coffee' + start_date='2026-01-01' → 'every coffee purchase since New Year' Defaults to no filter (returns the most recent 100 transactions across all accounts).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNoFilter to a single account by id.
categoryNoFilter to a single category name (exact match).
start_dateNoISO date YYYY-MM-DD; inclusive lower bound.
end_dateNoISO date YYYY-MM-DD; inclusive upper bound.
limitNoMax rows to return (default 100, max 500).
Behavior3/5

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

With no annotations provided, the description covers default ordering, default limit, and common use cases. It does not disclose any potential side effects, authentication needs, rate limits, or the exact structure of returned data, but the behavioral context given is adequate for basic usage.

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 front-loaded with the main purpose and uses bullet-like examples efficiently. Each sentence contributes meaning, though the examples could be slightly condensed without losing clarity.

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 5 parameters with full schema coverage, no output schema, and no annotations, the description covers ordering, filtering combos, defaults, and limits. It does not detail the return format, but for a list tool this is a minor gap; overall it is fairly complete.

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

Parameters4/5

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

Despite 100% schema coverage, the description adds significant value by providing example combos (e.g., account_id + start_date + end_date) and clarifying defaults (limit default 100, max 500). This contextualizes parameters beyond the schema's standalone descriptions.

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 tool lists transactions matching optional filters and returns the most recent first. It distinguishes from siblings by focusing on filtering and ordering, though it does not explicitly contrast with the similar-sounding 'search_transactions'.

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 provides common filter combinations and default behavior (no filter returns 100 recent transactions across all accounts). However, it lacks explicit guidance on when not to use this tool or alternatives (e.g., search_transactions for more complex queries), leaving usage implied.

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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