Flowsery

Get Visitors by Browser

get_browsers

Read-only

Get browser distribution — Chrome, Safari, Firefox, Edge, etc.

Input Schema

TableJSON Schema

Name	Required	Description
`endAt`	No	ISO 8601 end date (e.g. "2026-01-31")
`limit`	No	Max results (1-1000, default: 100)
`domain`	No	Website domain to query. Required when using a workspace token unless websiteId is provided.
`offset`	No	Pagination offset (default: 0)
`startAt`	No	ISO 8601 start date (e.g. "2026-01-01")
`timezone`	No	IANA timezone (e.g. "America/New_York"). Falls back to site default.
`filter_os`	No	Filter by operating system
`websiteId`	No	Website ID to query. Required when using a workspace token unless domain is provided.
`filter_ref`	No	Filter by ref URL parameter
`filter_via`	No	Filter by via URL parameter
`filter_city`	No	Filter by city
`filter_goal`	No	Filter by goal name
`filter_page`	No	Filter by page path
`filter_device`	No	Filter by device type: desktop, mobile, tablet
`filter_region`	No	Filter by region
`filter_source`	No	Filter by source URL parameter
`filter_browser`	No	Filter by browser name
`filter_channel`	No	Filter by marketing channel
`filter_country`	No	Filter by country
`filter_hostname`	No	Filter by hostname
`filter_referrer`	No	Filter by referrer domain
`filter_utm_term`	No	Filter by UTM term
`filter_entry_page`	No	Filter by entry/landing page
`filter_utm_medium`	No	Filter by UTM medium
`filter_utm_source`	No	Filter by UTM source
`filter_utm_content`	No	Filter by UTM content
`filter_utm_campaign`	No	Filter by UTM campaign

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	No	Browsers with visitor counts.

Schema Changelog

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

First observedSep 1, 2026

TDQS

A3.8/5.0

Behavior3/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds that the result is a 'distribution,' implying aggregated browser counts, but it does not disclose pagination behavior, date-range semantics, or any requirements around domain/websiteId. With rich annotations and an output schema present, the description is adequate but not highly transparent.

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?

The description is a single, focused sentence with no filler. It front-loads the core purpose and provides useful browser examples without 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?

Although the tool has 27 parameters, all are covered by the schema, an output schema exists, and annotations establish safety. The description is sufficient for an agent to select and invoke the tool correctly; only explicit guidance about when to use it versus sibling analytics tools is missing.

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%, so every parameter is already documented in the input schema. The description does not add meaning beyond what the schema provides, but it also does not need to since the schema fully documents parameters. Baseline 3 is appropriate.

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 a specific verb-resource combination ('Get browser distribution') and names representative browser examples, which distinguishes it from sibling tools like get_operating_systems and get_devices. An agent can immediately understand what this tool does and how it differs from similar analytics endpoints.

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?

The description implies the tool is for browser-specific analytics, but it does not explicitly say when to choose this over sibling tools such as get_devices or get_operating_systems. No exclusions or alternative routing are provided, so usage guidance is only implied rather than stated.

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

A3.6/5.0

Disambiguation5/5

Each tool serves a distinct purpose: get_* tools cover different analytics dimensions (browsers, cities, countries, etc.) with clear scopes, while issue management and tracking tools are clearly separated. Even get_breakdown is explicitly scoped to dimensions without dedicated endpoints, avoiding overlap.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case (delete_goals, get_overview, track_goal, update_issue_status). Verbs are specific and predictable (get, delete, track, list, update), and there are no naming style mixes.

Tool Count2/5

At 27 tools, the set exceeds the 25-tool threshold considered 'too many.' While the domain is broad (analytics, tracking, issues), many get_* tools could be consolidated into get_breakdown with filter parameters, making the count feel inflated rather than necessarily well-scoped.

Completeness4/5

The tool surface covers the full analytics lifecycle: overview, time series, breakdowns, real-time data, visitor profiles, goal/payment tracking and deletion, plus AI issue listing/detail/status updates. Minor gaps exist (e.g., no update for goals/payments, no explicit list of defined goals), but these are non-critical and don't impair typical workflows.

Resources

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