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Pirsch Analytics MCP Server

pirsch_pages

Retrieve page statistics with sorting and search filters, including average time on page option.

Instructions

Get page stats with sorting, search, and optional average time on page

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?

With no annotations, the description must reveal behavioral traits. It only mentions sorting/search/avg time but omits that it's a read operation, any default behavior, pagination, or what happens with empty results. The large schema suggests extensive filtering capability, but that is not disclosed.

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?

The description is a single short sentence, which is front-loaded with 'Get page stats'. However, given the tool's complexity (46 parameters), it is overly terse and sacrifices necessary detail for brevity.

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 tool has 46 parameters, no output schema, no annotations, and many sibling tools. The description provides almost no context: what the output looks like, default sorting/filtering, how to combine parameters, or which sibling to use when. This is completely inadequate for effective usage.

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?

Schema description coverage is only 22%, meaning most of the 46 parameters lack schema descriptions. The description adds only minimal semantics for sorting, search, and include_avg_time_on_page, leaving the vast majority of parameters unexplained. This forces the agent to guess or rely on parameter names.

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 clearly states 'Get page stats' with specific features (sorting, search, optional avg time). However, among sibling tools like pirsch_entry_pages and pirsch_exit_pages, it does not differentiate this general page stats tool from those specific ones, causing slight ambiguity.

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 versus alternatives such as pirsch_entry_pages, pirsch_overview, or pirsch_referrers. No mention of prerequisites, filtering logic, or expected 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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