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Atera MCP by usefulapi

List contacts

atera_list_contacts
Read-only

List end-user contacts, optionally searching by whole or partial email or phone number. Atera: GET /api/v3/contacts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, 1-based (default 1).
emailNoWhole or partial email to match.
phoneNoWhole or partial phone number to match.
items_in_pageNoItems per page, 1-500 (default 20).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the endpoint and the whole/partial matching behavior of the filters, but says nothing about pagination behavior, result ordering, or total counts — meaningful gaps for a list tool with no output schema.

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, front-loaded with the core action and filters, ending with the endpoint reference. No filler or redundancy.

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 read-only paginated list tool with full schema coverage and annotations carrying safety, the description covers purpose and filtering adequately. The absence of any note on pagination limits or result shape is a minor gap given there is no output schema.

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 all four parameters are already documented in the schema, and the description largely restates the email/phone matching semantics it provides. Baseline 3 applies; it adds no syntax, format, or matching-rule detail beyond the schema.

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?

States a specific verb (list) and resource (end-user contacts) plus the filter capability, and includes the underlying API endpoint. It is clearly distinguishable from the write-oriented siblings like atera_create_contact, though it does not explicitly name them.

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

Usage Guidelines3/5

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

The word 'optionally' implies the filters are not required and gives context for when search is used, but there is no explicit when-to-use/when-not guidance or reference to alternative tools. Usage is implied rather than stated.

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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