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regdata_uae_adgm_public_register

Scrape Abu Dhabi Global Market public register for company details: name, registration number, status, type, classification, incorporation date, address, trade names. Search by name, identifier, or trade name.

Instructions

UAE ADGM Public Register Scraper - Company Data. Scrape the Abu Dhabi Global Market (ADGM) public register: company name, registration number, status, type, classification, incorporation date, address and trade names. Search by name, identifier or trade name. No API key. Pass the registry's search input as a flat object (e.g. name, tax ID, or registration number); call regdata_describe with slug "uae-adgm-public-register-scraper" first if unsure of the exact fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxItemsNoOptional cap on billed dataset items returned.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that it's a scraper (no API key) and returns company data. However, it doesn't detail rate limits, error handling, or behavior when input is invalid. Moderate transparency.

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?

Two sentences, front-loaded with purpose, includes essential guidance without verbosity. Every sentence adds value.

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?

No output schema, and description doesn't detail return format (structure, pagination). It lists data fields but not how they are returned. The suggestion to use regdata_describe for fields partially compensates, but completeness is still lacking.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for maxItems, but the description adds crucial meaning: it explains that the main input is a freeform flat object with fields like name, tax ID, or registration number, which the schema does not specify. This clarifies how to use the additionalProperties.

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 clearly states the tool scrapes the ADGM public register for company data, listing specific data fields. It distinguishes from siblings by specifying the registry (ADGM) and that it's a scraper.

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?

The description provides usage guidance: no API key needed, search by name/identifier/trade name, and suggests calling regdata_describe first if unsure about fields. It lacks explicit when-not-to-use or alternatives, but the sibling list implies each tool is for a specific registry.

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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