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query_api_cards

Retrieve and filter UniVoucher crypto gift cards by status, chain, creator, redeemer, or token address to manage decentralized voucher data across multiple blockchains.

Instructions

Query UniVoucher cards with various filters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
limitNoResults per page
statusNoFilter by card status
chainNoFilter by chain ID
creatorNoFilter by creator address
redeemedByNoFilter by redeemer address
belongToNoFilter cards created by OR redeemed by this address
tokenAddressNoFilter by token address
sortDirectionNoSort directiondesc
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions filtering but lacks details on behavior: e.g., whether it's read-only, pagination handling, rate limits, authentication needs, or error responses. This is inadequate for a query tool with multiple parameters.

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 a single, efficient sentence with no wasted words, making it easy to parse. It's appropriately sized and front-loaded with the core action.

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

Completeness2/5

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

Given the tool's complexity (9 parameters, no output schema, no annotations), the description is insufficient. It doesn't explain return values, error handling, or behavioral traits, leaving significant gaps for an AI agent to understand how to use it effectively.

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%, so the schema fully documents all 9 parameters. The description adds minimal value by hinting at 'various filters' but doesn't elaborate on parameter interactions or semantics beyond what the schema provides, meeting the baseline for high coverage.

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 ('query') and resource ('UniVoucher cards') with scope ('with various filters'), making the purpose evident. However, it doesn't explicitly differentiate this tool from its sibling 'get_single_card', which appears to fetch a specific card rather than a filtered list, so it misses full sibling distinction.

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 provided on when to use this tool versus alternatives like 'get_single_card' or other sibling tools. The description mentions filters but doesn't specify contexts, prerequisites, or exclusions, leaving usage ambiguous.

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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