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Site agent/AI traffic stats

site_stats
Read-only

Aggregate-only public counts for agentmaverick.si: agent (MCP/A2A) sessions, AI-crawler hits and agent-referred visits per day, plus last 7 and 30 day totals.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the description's added value is in disclosing that results are aggregate-only and public (no per-user or per-session breakdown) and that data is bucketed per day with fixed 7- and 30-day rollups. That is real behavioral context beyond the annotations. It stops short of stating refresh cadence or latency, so not a 5.

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 zero filler: the aggregation scope is front-loaded and the metric list and time windows follow in priority order. Nothing repeats the title or wastes the agent's context.

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?

There is no output schema, so the description must carry the return-value burden, and it does so by enumerating the metrics and time windows returned. Combined with annotations covering the safety profile and zero parameters, an agent has everything needed to call this correctly.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline for a parameterless tool is 4; the description correctly signals that no filters or scoping arguments exist by framing output as fixed aggregate windows.

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?

Names the concrete resource (aggregate traffic counts for agentmaverick.si) and enumerates exactly which metrics it covers: agent/MCP-A2A sessions, AI-crawler hits, agent-referred visits, and 7/30-day totals. An agent can tell what it returns without opening a schema. It doesn't explicitly contrast with siblings, but none of the listed siblings overlap this data, so confusion risk is low.

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?

"Aggregate-only public counts" implies the tool is for high-level traffic reporting rather than per-session drill-down, which is implicit usage guidance. However, there is no explicit statement of when to call it versus alternatives, and no prerequisites or exclusions are given. Adequate but leaves the agent to infer the triggering condition.

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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