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miningyu

Scouter MCP Server

by miningyu

Get Visitor Stats

get_visitor_stats
Read-onlyIdempotent

Retrieve unique visitor statistics for real-time counts, daily totals, or hourly breakdowns to analyze traffic patterns and user activity.

Instructions

Get unique visitor (user) statistics. Supports real-time current visitor count, daily totals, or hourly breakdown. Useful for understanding traffic patterns and user activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate in YYYYMMDD format. Used for daily mode. Defaults to today.
modeNorealtime: current visitor count, daily: total for a date, hourly: hourly breakdown, group: total visitors for multiple agents over a time rangerealtime
end_timeNoEnd time for hourly/group modes. Defaults to now.
obj_hashNoSpecific agent object hash. Overrides obj_type for realtime/daily modes.
obj_typeNoObject type filter (e.g., 'tomcat'). Ignored if obj_hash or obj_hashes is provided.
obj_hashesNoComma-separated object hashes. Used for realtime (multi-agent total) and group modes.
start_timeNoStart time for hourly/group modes. Defaults to 6 hours ago.
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds context on the realtime/daily/hourly modes, which clarifies the kind of data returned. However, it does not mention the 'group' mode, creating a slight inconsistency with the schema enum, though it does not contradict annotations.

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 two sentences, front-loading the primary purpose and then listing supported modes and use case. There is no fluff or redundancy, making it highly concise.

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

Completeness3/5

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

The tool has moderate complexity with 4 modes and 7 params, but the schema and annotations cover much of the behavior. The description explains three of the four modes, notably missing 'group'. Without an output schema, a note on the response format for each mode would have been valuable, but the schema's parameter descriptions mitigate this gap.

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?

The schema covers all 7 parameters with 100% description coverage, so the description need not repeat parameter details. The mention of modes aligns with the 'mode' parameter but adds no extra syntax or constraints beyond the schema. Baseline 3 applies.

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 identifies the tool as retrieving unique visitor statistics and enumerates the supported modes (realtime, daily, hourly). This distinguishes it from sibling tools that focus on IPs, user agents, or counters. However, it omits the 'group' mode present in the schema, so it is not fully exhaustive.

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 offers a general use case ('useful for understanding traffic patterns and user activity'), which implicitly suggests when to use the tool. It does not name any alternatives or explicitly exclude other tools, so guidance is minimal but present.

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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