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batch_verify

Verify up to 10 AI agent addresses at once and retrieve trust scores for each. Efficiently evaluate a list of candidate agents.

Instructions

Verify multiple AI agent addresses in a single call (max 10). Returns trust scores for each address. Efficient for evaluating a list of candidate agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressesYes
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It mentions max 10 and returns trust scores, but lacks details on input validation (schema covers pattern), error handling, rate limits, or concurrency concerns.

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?

Two short sentences, no extraneous information, directly addresses functionality and benefit. Efficient and clear.

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 simple tool with one parameter, description covers purpose, usage context, and return type ('trust scores'). Lacks output structure and error behavior, but sufficient for common use.

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 has 0% description coverage, so description must add meaning. It calls the parameter 'AI agent addresses,' clarifying context over generic Ethereum addresses. However, the schema already defines the pattern, so added value is limited.

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?

Clearly states it verifies multiple AI agent addresses in a single call, max 10, and returns trust scores. Distinguishes from sibling verify_agent (single) and check_scam (different purpose).

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?

Says 'Efficient for evaluating a list of candidate agents,' providing context. Does not explicitly mention when not to use or list alternatives, but the batch nature implies use for multiple addresses.

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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