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Glama

KrystalView Analytics

Get Notifications

get_notifications
Read-onlyIdempotent

Get recent KrystalView notifications such as insights, setup notices, errors, and anomalies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results to return.
unread_onlyNoOnly include unread notifications.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesRecent KrystalView notifications, insights, setup notices, and anomaly messages.
metaYesSite and rate-limit metadata for the current MCP call.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 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, idempotentHint, and non-destructive nature. Description adds that notifications are 'recent', which is helpful. No mention of ordering, pagination, or other behaviors beyond schema. No contradiction with annotations.

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?

Single sentence that is clear and efficient, no redundancy or wasted words.

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 simple nature of the tool (2 optional parameters, output schema exists), the description is complete enough. It provides sufficient context for an agent to understand its purpose without extra details.

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% with clear descriptions for both parameters (limit and unread_only). Description does not add any additional semantic value beyond what is already in 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?

Description specifies 'Get recent KrystalView notifications' and lists example types (insights, setup notices, errors, anomalies), clearly identifying the resource and scope. It distinguishes from more specific sibling tools like get_anomalies and get_errors, though not explicitly.

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?

No explicit guidance on when to use this tool versus alternatives like get_anomalies or get_errors. The description implies it is a broader list, but lacks direct comparisons or exclusion criteria.

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

A4/5.0
Disambiguation5/5

Each tool targets a distinct analytics dimension (anomalies, campaigns, errors, funnels, live visitors, notifications, scroll depth, sessions, site stats) with clear boundaries. Even overlapping concepts (sessions list vs detail vs live) are separated by distinct functionality.

Naming Consistency5/5

All tool names follow the consistent 'get_<resource>' pattern in snake_case, making it predictable for an agent to infer the purpose of each tool from the name alone.

Tool Count5/5

13 tools is well-scoped for an analytics server covering site stats, sessions, funnels, campaigns, errors, and real-time data. Each tool earns its place without redundancy or unnecessary complexity.

Completeness4/5

The set covers the major analytics domains (traffic, engagement, campaigns, errors, funnels, real-time). Minor gaps exist, such as missing tools for goal/conversion tracking beyond funnels, but core workflows are well supported.