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DevDome Analytics

get_visitors

Recent individual visits: entry page, path taken, country, device, human/bot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
siteYes
limitNo

Schema Changelog

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

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It makes clear this is a read-only, per-visit listing with human/bot classification, which is useful. However, it does not disclose defaults (e.g., time window for 'recent'), result limits, ordering, or pagination behavior.

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?

A single sentence with a colon-delimited field list, front-loaded with the core concept 'Recent individual visits'. Every word carries information and there is zero filler

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

Completeness2/5

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

For a tool with three parameters, no annotations, and no output schema, the description is too thin. An agent cannot tell the required site parameter, the default window, the meaning of limit, or how this differs from get_realtime and get_bot_report. The overall behavior and call contract are under-specified.

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 0%, so the description must compensate for the three parameters (site, days, limit). It only hints at semantics through 'Recent' (days) and 'individual visits' (limit), but never explains that site is required, what units days uses, or what limit caps. This is inadequate for an agent to set parameters confidently.

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 a specific resource ('recent individual visits') and enumerates the data fields returned (entry page, path, country, device, human/bot). The phrase 'individual visits' implicitly distinguishes it from aggregate sibling tools like get_stats, get_breakdown, and get_timeseries, though it never names them explicitly.

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?

Usage is implied: an agent can infer this tool is for retrieving recent per-visit details. However, there is no explicit guidance on when to prefer it over get_realtime or get_bot_report, no exclusions, and no mention of prerequisites like an existing site.

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 targets a distinct resource or analytical view: site management (add/list/verify) is cleanly separated from analytics (stats, timeseries, visitors, realtime, bot report, breakdown, health). Even the traffic-related getters differ clearly by granularity and intent, so an agent is unlikely to confuse them.

Naming Consistency5/5

The naming follows a consistent verb_noun pattern: add_site, list_sites, verify_site, and all analytics tools use get_<noun>. This makes the toolset predictable and easy to navigate.

Tool Count5/5

Ten tools is well-scoped for an analytics product, covering both site administration and multiple data views without redundancy or bloat. Each tool earns its place in the API surface.

Completeness4/5

The core site lifecycle is covered (add, list, verify), and the analytics side is thorough with stats, timeseries, breakdown, realtime, visitors, bot reports, and health. Minor gaps exist, such as no remove/update site or deeper filtering options, but agents can complete typical workflows without dead ends.

Resources