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1Lookup

Bulk validate phones, emails, or IPs

bulk_verify
Read-only

Validate up to 50 phones, emails, or IPs in one call. Returns a per-item result array. Spends 1 credit per item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesWhat kind of values to validate
valuesYesUp to 50 values

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesWhat kind of values were validated
totalYesHow many values were submitted
failedYesHow many did not
resultsYesOne entry per submitted value, in the order submitted
succeededYesHow many returned a result

TDQS

A4.2/5.0
Behavior4/5

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

It goes beyond the readOnly/destructive annotations by disclosing a material operational cost: 'Spends 1 credit per item.' It also notes the per-item result array, which is useful behavioral context even though an output schema exists.

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?

Three short sentences deliver the core capability, the batch limit, the return shape, and the cost in order of importance. 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 simple batch-validation tool, the definition covers what it does, the limit, the result shape, and the credit cost. The annotations and output schema fill in safety and return details; the only notable omission is explicit guidance on when to prefer single-item siblings.

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 coverage is 100%, so the input schema already documents both parameters, including the enum values and maxItems. The description adds little beyond restating the resource types and batch size, so a baseline score of 3 is appropriate.

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?

The description states a specific verb ('Validate') with concrete resources (phones, emails, IPs) and a clear batch constraint (up to 50 in one call). This distinguishes it from single-item sibling tools like validate_phone and verify_email.

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 clearly implies bulk usage by saying 'in one call' and 'up to 50,' which helps an agent choose it over repeated single validations. However, it does not explicitly name alternative single-item tools or state when not to use it.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource or mode: single IP, phone, email, a batch operation, and account info. The bulk_verify tool is clearly differentiated from the single-item lookups by its batch scope.

Naming Consistency3/5

Most tools follow a verb_noun pattern like get_account, validate_phone, and verify_email, but ip_lookup reverses the order and bulk_verify uses a modifier before the verb. The mix of verify, validate, and lookup verbs is also slightly inconsistent.

Tool Count5/5

Five tools is a well-scoped set for a lookup/verification API: one account endpoint, three single-entity checks, and one bulk operation. Each tool has a clear purpose and none feel redundant.

Completeness5/5

The tool surface covers the core domain: phone, email, and IP verification are available both individually and via bulk_verify, and get_account supports operational planning around credits. No obvious dead ends or missing critical operations.

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