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Monarch Money MCP Server

Monarch Money MCP Server

by jamiew

Get Credit Score History

get_credit_score_history
Read-only

Retrieve household credit score snapshots oldest first to review score trends by user and confirm credit monitoring enrollment.

Instructions

Get household credit score snapshots, oldest first.

Returns enrolled (whether credit monitoring is set up), users [{id, name}], and snapshots [{date, score, user_id}]; user_id matches a users entry.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
countYes
usersYes
enrolledYes
snapshotsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.6.0

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=false, so safety and scope are covered. The description adds the sort order ('oldest first') and a note that user_id matches a users entry, which is genuinely useful behavioral context, but it does not mention limits, empty-history behavior, or freshness of snapshots.

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 purpose is front-loaded in one clause, and the rest is compact. The second sentence restates the return shape that the output schema already provides, which is mild redundancy but not harmful.

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 no-parameter read tool with annotations and an output schema, the description covers purpose, ordering, and the relationship between snapshots and users. Missing only edge-case behavior such as what happens when credit monitoring is not enrolled, which is partly implied by the 'enrolled' field.

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 takes no parameters, so there is nothing for the description to disambiguate beyond confirming no input is required. Baseline 4 applies.

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 opens with a specific verb and resource ('Get household credit score snapshots') and adds a meaningful scope detail ('oldest first'). It does not name a sibling, but none of the listed siblings covers credit scores, so no differentiation is strictly needed.

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?

Usage is only implied: the tool answers 'what is this household's credit score history'. There is no explicit when-to-use or when-not-to guidance, though the zero-parameter read-only nature makes the call obvious enough that this gap is minor.

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