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chrischall

splitwise-mcp

by chrischall

sw_get_group

Read-only

Retrieve a Splitwise group's details, members, and balances by providing its group ID.

Instructions

Get details of a single Splitwise group including all members and balances.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesGroup ID
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact drops the avatar/cover-photo URLs (60% of a live 51-group response, which does not fit in a tool result at all) and the whiteboard/reminder settings; "full" returns Splitwise's whole records.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv3.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv2.4.0
    • addedInput schema / properties / view
      Added value: +{
      +  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact drops the avatar/cover-photo URLs (60% of a live 51-group response, which does not fit in a tool result at all) and the whiteboard/reminder settings; \"full\" returns Splitwise's whole records.",
      +  "enum": [
      +    "compact",
      +    "full"
      +  ],
      +  "type": "string"
      +}
  3. First observedv2.1.5

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, so the agent knows this is a safe read operation. The description adds value by specifying the response includes members and balances, and the 'view' parameter description discloses significant behavioral details about response size and what fields are dropped in compact mode. This goes beyond the annotation.

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 main description is a single clear sentence. The 'view' parameter description is longer but earns its place by explaining a non-obvious tradeoff. The structure is front-loaded with the core purpose before parameter details.

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?

For a read-only single-resource tool with 100% schema coverage and a clear description, the definition is largely complete. The output schema is absent, but the description mentions the key return contents (members and balances). The 'view' parameter explanation covers the main behavioral nuance. Minor gap: no explicit mention of error cases or 404 behavior, but this is not critical for a simple GET-like tool.

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?

Schema coverage is 100%, so the schema already documents both parameters. The description adds meaningful context for the 'view' parameter by explaining the practical impact of compact vs full (response size, dropped fields), which is valuable beyond the schema's enum description. The 'id' parameter is simple and adequately described.

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 states a specific verb ('Get'), a specific resource ('a single Splitwise group'), and the key included data ('all members and balances'). This clearly distinguishes it from sibling tools like sw_list_groups (which lists groups) and sw_get_expense (which gets an expense).

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 implies usage for retrieving a single group's details, but it does not explicitly state when to use this tool versus alternatives like sw_list_groups. The sibling list provides context, but the description itself offers no direct comparison or exclusion criteria.

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