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Get Transactions

get_transactions
Read-onlyIdempotent

Fetch bank transactions for a date range. Returns transaction names, amounts, categories, and dates. Example: get_transactions({ access_token: "access-sandbox-xxx", start_date: "2024-01-01", end_date: "2024-01-31", _apiKey: "client_id:secret" })

Input Schema

NameRequiredDescriptionDefault
_apiKeyYesPlaid credentials as "client_id:secret"
end_dateYesEnd date in YYYY-MM-DD format, e.g. "2024-01-31"
start_dateYesStart date in YYYY-MM-DD format, e.g. "2024-01-01"
access_tokenYesPlaid access token for the linked institution

Output Schema

NameRequiredDescriptionDefault
itemNoItem metadata
request_idNoUnique request identifier
transactionsNoList of transactions in the date range
total_transactionsNoTotal number of transactions in response

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, covering the safety profile. The description adds the returned fields (names, amounts, categories, dates) and an example, but does not disclose additional behavioral details such as pagination, rate limits, or authorization requirements beyond the parameter example.

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 brief and front-loaded with the core purpose, followed immediately by a useful JSON example. Every sentence earns its place, and there is no redundant or filler content.

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 transaction-fetching tool with comprehensive annotations and a full output schema, the description is nearly complete: it states the operation, date range, returned data, and gives an executable example. It could be more complete by noting any limits or how it differs from account/balance tools, but those are minor gaps.

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%, and each parameter already has clear documentation including format hints. The description only reinforces the date-range semantics and provides a complete example; it does not add meaningful new meaning beyond the schema, so the baseline of 3 is appropriate.

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 identifies the operation ('Fetch bank transactions') and the main scope ('for a date range'), which is specific and actionable. It does not explicitly differentiate from siblings like get_accounts or get_balance, but the resource type (transactions) makes the distinction reasonably clear.

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?

No guidance is given about when to use this tool versus alternatives such as get_accounts or get_balance. The example call shows how to invoke it but provides no context for selecting this tool over related list/read tools, so the agent must infer usage from the name 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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