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get_ledger_entries

Retrieve payment account ledger entries for an Etsy shop to track financial transactions within specified date ranges using shop ID and pagination parameters.

Instructions

Get payment account ledger entries for a shop

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shop_idYesThe shop ID
min_createdNoMinimum creation timestamp
max_createdNoMaximum creation timestamp
limitNoResults per page
offsetNoOffset for pagination
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves data ('Get'), implying a read-only operation, but doesn't clarify permissions, rate limits, pagination behavior (beyond what the schema implies with limit/offset), or return format. For a tool with 5 parameters and no annotation coverage, this is a significant gap in transparency.

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?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It earns its place by clearly stating what the tool does, making it easy to scan and understand quickly.

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?

Given the complexity of a 5-parameter tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, return values, and usage context, which are critical for an agent to invoke this tool effectively. The description does the minimum to state purpose but fails to provide necessary operational context.

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 100%, so the schema already documents all 5 parameters with basic descriptions. The description adds no additional meaning about parameters, such as format details for timestamps or typical usage patterns. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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 action ('Get') and resource ('payment account ledger entries for a shop'), making the purpose immediately understandable. However, it doesn't distinguish this tool from potential siblings like 'get_payments' or 'get_transactions_by_shop', which might retrieve similar financial data, leaving room for ambiguity in sibling differentiation.

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. With siblings like 'get_payments' and 'get_transactions_by_shop' that might overlap in retrieving financial records, there's no indication of scope, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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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