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get_recurring_transactions

Read-only

Detect recurring payments and subscriptions by combining pattern analysis with Copilot's built-in subscription tracking.

Instructions

Identify recurring/subscription charges. Combines two data sources: (1) Pattern analysis - finds transactions from same merchant with similar amounts, returns estimated frequency, confidence score, and next expected date. (2) Copilot's native subscription tracking - returns user-confirmed subscriptions stored in the app. Both sources are included by default for comprehensive coverage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_occurrencesNoMinimum number of occurrences to qualify as recurring (default: 2)
periodNoPeriod to analyze (default: last_90_days). Options: this_month, last_month, last_7_days, last_30_days, last_90_days, ytd, this_year, last_year
start_dateNoStart date (YYYY-MM-DD)
end_dateNoEnd date (YYYY-MM-DD)
include_copilot_subscriptionsNoInclude Copilot's native subscription tracking data (default: true). Returns copilot_subscriptions array with user-confirmed subscriptions.
nameNoFilter by name (case-insensitive partial match). When filtering, returns detailed view with additional fields like min_amount, max_amount, match_string, account info, and transaction history.
recurring_idNoFilter by exact recurring ID. When filtering, returns detailed view with additional fields like min_amount, max_amount, match_string, account info, and transaction history.
Behavior4/5

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

Annotations already indicate readOnlyHint=true. The description adds value by detailing the dual data sources and what each returns (estimated frequency, confidence score, next expected date, user-confirmed subscriptions). It does not contradict annotations.

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 three sentences, front-loaded with the purpose, and no unnecessary information.

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?

The description provides a good overview of the tool's behavior and output fields. However, because no output schema exists, a brief note on the overall output structure would improve completeness, though the mention of specific fields is helpful.

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 coverage is 100%, so baseline is 3. The description does not add significant meaning beyond the schema's parameter descriptions; it only explains the tool's purpose.

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 clearly states the tool identifies recurring/subscription charges and explains it combines two data sources (pattern analysis and native subscription tracking). This distinguishes it from siblings like get_transactions which return all 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 implies usage for finding recurring charges but does not explicitly state when to avoid using it or name alternatives like get_transactions for non-recurring queries.

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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