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udaysrinu

ExpensifyAI

by udaysrinu

List Default Splits

list_default_splits

Retrieve all saved split templates to review, edit, or reuse predefined expense divisions for faster expense tracking.

Instructions

List all saved split templates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'List all saved split templates' without mentioning ordering, pagination, or whether the returned list is sorted. There is no information about the output structure, though an output schema exists. The description adds minimal behavioral context beyond the basic operation.

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, clear sentence with no wasted words. It is front-loaded with the action and resource, making it easy to parse. Perfectly concise for such a simple tool.

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 the zero-parameter interface and the presence of an output schema, the description is largely complete for a simple list operation. However, it does not mention whether the list is sorted or if there are any implicit filters. The absence of any caveats is acceptable for such a straightforward tool, but a note about the return format could enhance completeness.

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?

The tool has zero parameters, so the schema fully covers parameter semantics (100% coverage). The description adds no parameter-specific information because there are none to describe. Per calibration, a baseline of 4 is appropriate when no parameters exist.

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 'list' and the resource 'saved split templates'. It is distinguishable from sibling tools like save_default_split and delete_default_split, which are mutation operations. However, it could be more explicit that this retrieves a collection of templates, not a single one.

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 explicit guidance on when to use this tool versus alternatives. While it is implied that this is for retrieving existing split templates, there is no mention of when to prefer this over save_default_split or delete_default_split. The agent is left to infer the context.

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