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Journeys

journeys
Read-only

The routes visitors actually take, grouped into identical sequences and counted, busiest first. Use this when you do NOT already know the steps: funnel measures a path you name, journeys discovers the ones you did not think to check. A step is a pageview path (/pricing) or a custom event marked with a leading # (#signup_click), so the moment of conversion appears in the route. Consecutive repeats are collapsed and only the first 10 steps define a route. contains filters to routes that include a given path or event: run it once with and once without to see what converting visitors do differently. Visitor identity rotates daily, so a route is one day of activity and describes a group, never a person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoISO end, alternative to period
fromNoISO start, alternative to period
siteNothe site's data-site code, from its script tag or list_sites. Omit when the account has a single site. In a tracked project, read the code from the script tag before asking the user.
limitNomax routes returned (default 20)
periodNorelative period like '24h', '7d' (default), '4w'
containsNoonly routes that include this path or #event step

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
siteYes
periodYes
containsNo
journeysYes
total_visitorsYes

Schema Changelog

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

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

The description goes well beyond the readOnlyHint annotation by explaining how routes are constructed: consecutive repeats are collapsed, only the first 10 steps define a route, and visitor identity rotates daily so a route describes a group, not a person. These are critical behavioral nuances not expressed in the annotations or schema.

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?

Every sentence earns its place: core definition, usage discrimination, step syntax, route construction rules, filter guidance, and data identity caveat. The description is dense but not bloated, and the core purpose is front-loaded.

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

Completeness5/5

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

Given the tool's complexity and the presence of an output schema, the description covers everything an agent needs to correctly select and invoke it: when to use it, how steps are represented, route truncation behavior, the daily identity rotation, and filter behavior. No important gap remains.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds meaningful semantics for the contains parameter, explaining it filters routes to those including a given path or event and suggesting how to use it for comparison. It also clarifies the step syntax that applies to contains and route interpretation.

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 opens with a specific and informative definition: routes visitors actually take, grouped into identical sequences and counted, busiest first. It explicitly contrasts itself with the sibling tool 'funnel', making its unique purpose immediately clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly tells the agent when to use this tool: 'Use this when you do NOT already know the steps', and names the alternative funnel with its distinguishing condition. It also gives operational guidance on using the contains filter with and without to compare converting visitors.

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

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct resources or analytic questions: site CRUD, annotation handling, overviews, funnels, journeys, and diagnostic checks are separated. A few tools like get_overview, query, and what_changed could overlap when asking 'what happened', but their descriptions differentiate the intended use well.

Naming Consistency3/5

The CRUD tools follow a clean verb_noun pattern (create_site, delete_site, list_sites, update_site_context), but analysis tools mix bare nouns (funnel, journeys), bare verbs (query), adverb-verb compounds (compare_around), and what_* question phrases (what_broke, what_changed). Naming is readable and snake_case is consistent, but the overall convention is not uniform.

Tool Count5/5

15 tools is within the well-scoped range and each tool earns its place: site management, annotation tracking, traffic overview, discovery, diagnostics, and comparison all have dedicated tools. There is no obvious redundancy or padding.

Completeness4/5

The surface covers the core domain well: sites can be created, listed, deleted, and contextualized; annotations can be recorded and listed; analytics support overview, breakdown, funnel, journey, and anomaly questions. Minor gaps exist such as no update/delete for annotations and no single-site getter separate from list_sites, but agents can work around these.