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zvika-finally

Marqeta DiVA API MCP Server

get_cards

Retrieve card details including user tokens, card state, active status, and UAI. Filter by user, state, and other fields. Supports field selection, sorting, and result limits up to 10,000 records per query.

Instructions

Get card detail data. Includes user tokens, card state, active status, and UAI. Detail-level only. Supports filtering by user, state, etc. 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
fieldsNoSpecific fields to return
filtersNoFilters (e.g., {'state': 'ACTIVE', 'user_token': 'abc123'})
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?

No annotations are provided, so the description alone must disclose behavior. It correctly implies a read-only operation and mentions the API limit, but does not detail other traits like performance, caching, or data freshness. No contradictions.

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 concise, with two short sentences that convey purpose, contents, and a key limitation. No superfluous information.

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?

Without an output schema, the description partially addresses return values by listing some fields. However, it does not fully describe the output structure or pagination behavior. Adequate but not comprehensive.

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?

The input schema has 100% description coverage, so the description's mention of specific fields adds marginal value. It does not elaborate on parameter usage 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 'Get card detail data' and lists included fields (user tokens, card state, etc.). It is specific but does not explicitly differentiate from siblings like get_card_counts or get_users, though the purpose is distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises on filtering and notes the 10,000 record limit, suggesting use of narrower date ranges or more specific filters. This provides clear usage guidance, though it doesn't mention when not to use this tool or direct to alternatives.

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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