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rsp2k
by rsp2k

subaccount_find_by_email

Find Vultr subaccounts matching an email address and retrieve their details.

Instructions

Find subaccounts by email address.

Args: email: Email address to search for

Returns: List of matching subaccounts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It conveys a read-style search operation that returns a list of matches, which is helpful. However, it does not disclose edge cases such as exact vs. partial matching, whether no matches return an empty list, pagination, or authentication expectations, leaving meaningful behavioral gaps.

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 compact and well structured with Args and Returns sections. Every sentence contributes useful information, and no filler is present, making it easy to scan and parse.

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?

Given the tool's low complexity (one string parameter), the presence of an output schema, and the short return description, this is nearly complete for correct invocation. It names the search key and the output shape, though it would benefit from usage guidance and edge-case notes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema gives no description coverage for parameters, so the description must supply meaning. It correctly explains that the 'email' parameter is the email address to search for, which is sufficient for an agent to fill the required argument. It could add matching semantics, but for a single simple field it compensates well.

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 uses a specific verb ('Find') and resource ('subaccounts') with an explicit search key ('email address'), making the tool's purpose instantly clear. It also naturally differentiates from the sibling 'subaccount_find_by_name' by indicating the lookup field.

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?

The description provides no guidance on when to use this tool versus alternatives such as subaccount_find_by_name or subaccount_create. There are no exclusions, scenarios, or prerequisites stated, so an agent receives no context for choosing this tool over siblings.

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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