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zvika-finally

Marqeta DiVA API MCP Server

get_settlements

Retrieve settlement transaction data including status, post dates, purchase amounts, and network information. Supports detail, day, week, and month aggregation. Use narrower date ranges for larger datasets due to 10,000 record limit.

Instructions

Get settlement transaction data. Includes transaction status, post dates, purchase amounts, and network information. Supports detail, day, week, and month aggregation. Note: DiVA API limits results to 10,000 records per query. Use narrower date ranges or more specific filters for larger datasets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aggregationNoAggregation level for the datadetail
fieldsNoSpecific fields to return
filtersNoFilters on data fields. For date filtering, use actual date field names with operators. Example: {'transaction_timestamp': '>=2023-10-20'}. Do NOT include query parameters like 'count' here.
sort_byNoField to sort by
countNoMaximum records to return (up to 10,000, default 10,000)
programNoOverride default program
Behavior3/5

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

With no annotations provided, the description must fully disclose behavior. It mentions the API record limit, which is useful. But it lacks information on read-only status, authentication needs, rate limits, or error handling, leaving gaps in transparency.

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 two sentences long, front-loading the primary purpose and immediately following with a critical usage note. No extraneous information is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 6 parameters, nested objects, and no output schema, the description covers basic purpose and a key limitation but omits details on return format, aggregation behavior nuances, and more comprehensive filter examples. It is minimally adequate.

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?

Input schema covers 100% of parameters with descriptions, so the baseline is 3. The description adds value with a filter example and the 10,000-record limit context, but does not significantly enhance understanding of each parameter beyond what the schema already provides.

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 ('Get') and resource ('settlement transaction data'), and lists included fields. However, it does not explicitly differentiate from sibling tools like get_authorizations or get_clearings, which could cause ambiguity.

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 provides a contextual note about the 10,000-record limit and suggests using narrower date ranges or filters for larger datasets. However, it does not offer explicit guidance on when to use this tool versus alternatives, nor does it state prerequisites or exclusions.

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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