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agent_detection_list_sites

List this team's Agent Detection integrations. Agent Detection tells a website whether each visitor is a person or an AI agent (for example a personal assistant browsing on someone's behalf). Each integration is one website, with the domains its publishable key works on and the one-line script snippet to paste into the site's .

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the disclosure burden. It conveys read-only behavior via 'List' and specifies what is returned: the domains and the one-line script snippet. It does not mention pagination, rate limits, or explicitly state 'does not modify', but for a simple list tool the core behavior is clear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the action and uses two supporting sentences to explain what an integration is and what the listing contains. It is efficient, though the conceptual explanation of Agent Detection could be trimmed without losing invocation-critical information.

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?

For a zero-parameter list operation with no output schema, it sufficiently describes the return scope and contents: each integration is one website with its domains and script snippet. It does not address pagination or response format details, but those are minor gaps for this simple listing tool.

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?

There are zero parameters, so there is no parameter syntax to document. The only implicit scope is 'this team's', which is clearly stated in the description, satisfying the baseline for a no-parameter tool.

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 precise verb and object — 'List this team's Agent Detection integrations' — and then clarifies what an integration is (one website, domains, script snippet). This clearly distinguishes the tool from siblings like agent_detection_create_site, agent_detection_update_site, and agent_detection_list_sessions.

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

Usage Guidelines4/5

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

It sets a clear context: use this when you need to enumerate this team's configured Agent Detection sites/integrations. It does not explicitly name alternatives or state when not to use it, but the wording is specific enough to avoid confusion with creating/updating sites or listing sessions.

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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