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Heliyos MCP server

Heliyos MCP server

Official
by heliyos-ai

Get notification settings

heliyos_notification_settings_get
Read-onlyIdempotent

Retrieve a workspace's notification email settings, including active status, recipient addresses, and event notification frequencies, to verify or audit how alerts are configured.

Instructions

Returns the workspace's notification email settings: whether they are on, who receives them, and which events notify (each immediate or in a daily digest). Returns structuredContent {settings:{configured, is_active, notify_emails, event_types:[{type, frequency}]}}.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
settingsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds useful substance beyond that by noting the workspace scope and that settings can be unconfigured and that each event type carries an immediate-vs-digest frequency, but it says nothing about permissions or what happens when nothing is configured beyond the 'configured' flag name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the primary statement of what is returned, with no filler. The second sentence restates the output shape that the output schema already declares, which is mild redundancy but also serves as a quick scan aid.

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 zero-argument read tool with full annotation coverage and an output schema, this is close to complete: the agent knows it needs no inputs and roughly what comes back. The only gap is the absence of guidance on where to go next (e.g., the update sibling) or whether specific permissions are needed to read settings.

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 tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. Schema coverage is reported at 100% and additionalProperties is false, leaving nothing ambiguous about inputs.

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 names a specific verb and resource: 'Returns the workspace's notification email settings', and enumerates the facets covered (on/off, recipients, event types). It is unambiguous about scope, but never explicitly names the counterpart heliyos_notification_settings_update, so sibling routing is inferred from naming convention alone.

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?

There is no explicit when-to-use or when-not-to-use statement, nor a pointer to the update sibling or to heliyos_organization_get/team_members_list for related config. Usage is implied by the read framing ('Returns...'), which is adequate for a zero-parameter getter but leaves guidance to inference.

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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