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KrystalView Analytics

Get Campaign Sessions

get_campaign_sessions
Read-onlyIdempotent

List sessions attributed to a specific marketing campaign.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results to return.
offsetNoPagination offset.
campaignYesUTM campaign name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesVisitor sessions attributed to the requested UTM campaign.
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

B3.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false. The description adds no behavioral details beyond 'list', such as pagination behavior or rate limits, failing to add value beyond structured fields.

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 with no wasted words. Front-loaded with purpose. Efficient for a simple listing tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With output schema and annotations, the basic function is covered. However, given 12 sibling tools, more context on how this differs from 'get_sessions' or when to use pagination would improve completeness.

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 baseline is 3. The description does not add any parameter context beyond schema, which is acceptable as schema fully documents the three parameters.

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 clearly states 'List sessions attributed to a specific marketing campaign' with a specific verb and resource. It distinguishes itself from sibling tools like 'get_sessions' (all sessions) and 'get_session_detail' (single session) by specifying campaign attribution.

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?

No explicit guidance on when to use this tool versus alternatives. While the purpose implies use for campaign-related sessions, it doesn't mention when not to use it or suggest other tools like 'get_campaign_summary' for aggregated data.

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.