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detect_address_crowding

Read-only

Counts companies sharing a registered address to detect shell-firm hotels. Classifies risk from normal to high based on company count thresholds.

Instructions

Detects "shell-firm hotel" patterns — counts how many companies share the same registered address. Threshold-based risk: 1-9 normal (multi-tenant office), 10-49 mild (legitimate coworking), 50-199 medium (virtual office provider), 200+ high (shell-firm hotel). Compliance tier or higher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
icoYesCzech IČO 7-8 digits
Behavior4/5

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

Annotations already provide readOnlyHint and openWorldHint. Description adds threshold-based risk levels (1-9 normal, 200+ high), giving concrete behavioral context beyond annotations.

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?

Description is informative but slightly verbose with threshold enumeration. Front-loaded with purpose, but could be more concise while keeping 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?

Tool is simple (one param, no output schema). Description sufficiently explains purpose and threshold interpretation. Complete given annotations.

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?

Single parameter 'ico' with schema description 'Czech IČO 7-8 digits'. Description adds no further meaning; schema coverage is 100%, so baseline 3.

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?

Clearly states it detects 'shell-firm hotel' patterns by counting companies sharing the same registered address. Distinguishes from siblings like detect_nominee_director and detect_phoenix.

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?

Implies usage for compliance checks with 'Compliance tier or higher', but no explicit when-to-use or when-not-to-use, nor contrasts with alternatives.

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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