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Pirsch Analytics MCP Server

pirsch_events

Retrieve event statistics including visitor counts, conversion rates, and metadata keys, with filters for date range, path, event name, and more.

Instructions

Get event statistics with counts, visitors, conversion rate, and metadata keys

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
osNo
toNoYYYY-MM-DD
tzNo
tagNo
cityNo
fromNoYYYY-MM-DD
pathNoSupports Pirsch operators like ~contains, !not, and ^does-not-contain
sortNo
eventNo
limitNo
scaleNo
startNoPast seconds for active view
filterNo
offsetNo
searchNoContains search on the primary field, e.g. page path for page endpoints
browserNo
channelNo
countryNo
keywordNoGoogle Search Console keyword filter for keyword page lookups
patternNo
to_timeNoHH:MM (same-day only)
hostnameNo
languageNo
platformNo
referrerNo
utm_termNo
directionNo
domain_idNo
exit_pathNo
from_timeNoHH:MM (same-day only)
entry_pathNo
event_nameNoAlias for event when callers use event_name instead of event
session_idNo
utm_mediumNo
utm_sourceNo
visitor_idNo
path_prefixNoMCP-local path prefix filter for page-style tools, e.g. /tutorials/
utm_contentNo
screen_classNo
utm_campaignNo
include_titleNo
referrer_nameNo
event_meta_keyNo
custom_metric_keyNo
custom_metric_typeNo
include_avg_time_on_pageNo
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only states the output without mentioning read-only nature, side effects, rate limits, or required permissions.

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

Conciseness3/5

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

Single sentence is concise but lacks structure; it omits essential context that could be front-loaded.

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

Completeness1/5

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

The description is vastly insufficient for a tool with 46 parameters, no output schema, and no annotations. It fails to provide adequate context for correct invocation.

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

Parameters2/5

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

With only 22% schema coverage, the description should compensate but adds no parameter details. It only names output fields, not how parameters affect results.

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 states the tool gets event statistics and lists what it returns (counts, visitors, conversion rate, metadata keys). This is specific and distinguishes it from sibling tools that focus on other analytics (e.g., pages, visitors).

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 guidance on when to use this tool vs alternatives like pirsch_goals or pirsch_event_pages. The description does not mention prerequisites or typical use cases.

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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