website2vat
Server Details
Finds public VAT and company registration identifiers from website domains.
- Status
- Healthy
- Uptime
- 99.9% over 45 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-03-26
- URL
TDQS
Scored across 4 tools
Each tool targets a distinct action: creating a checkout, creating a lookup, retrieving lookup state, and getting payment details. No overlapping purposes.
All tool names follow a consistent verb_noun pattern in snake_case (create_*, get_*).
With 4 tools, the server is well-scoped for its purpose: creation, retrieval, and payment handling for VAT lookups.
Covers the core workflow (create, get, pay) but lacks list/delete operations for lookups, which are minor gaps.
Available Tools
4 toolscreate_stripe_checkoutBInspect
Create a hosted Stripe Checkout URL to unlock an owned lookup. This may cause a financial transaction only after the user opens and confirms payment on Stripe.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Given no annotations, the description carries full burden. It explicitly warns that this 'may cause a financial transaction only after the user opens and confirms payment on Stripe,' which is critical behavioral info. However, it does not detail other consequences (e.g., what 'unlock' entails or if it's reversible).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary action, and contains no wasted words. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description explains the core function and the financial implication, but it omits what the tool returns (the URL), prerequisites (user must own a lookup), or how the returned URL is used. Given the tool's payment nature and single parameter, more context would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds no meaning to the single parameter 'id' beyond the schema. With 0% schema description coverage, the description should clarify what 'id' refers to (e.g., the lookup ID), but it does not. The schema provides a pattern and example, but the description omits explanation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action ('create'), the resource ('hosted Stripe Checkout URL'), and the purpose ('unlock an owned lookup'). It is specific and distinguishes from sibling tools which are VAT-related, not payment-related.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The description mentions it may cause a financial transaction but does not clarify prerequisites, contexts, or when not to use it. Sibling tools are unrelated, but still lacks usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_vat_lookupCInspect
Create a website-to-VAT lookup. Returns a free preview where quota is available.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | ||
| domains | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It mentions a 'free preview' and quota dependency, but omits behavioral traits like mutation, idempotency, permissions, or side effects of the create operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load the action and key return behavior ('free preview where quota is available'). No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 2 params, no output schema, and no annotations, the description is insufficient. Missing details on what the lookup does, preview contents, and quota implications limit an agent's ability to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description offers no explanation of parameters. 'name' and 'domains' are left undefined, requiring the agent to guess their meaning from names alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a 'website-to-VAT lookup', a specific verb+resource. It differentiates from siblings like create_stripe_checkout (payment) and get_vat_lookup (retrieval) by context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus its siblings. The description does not mention alternatives, prerequisites, or when not to use, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_vat_lookupBInspect
Get the current state and results for a VAT lookup created by this client.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses that it is a read operation for lookups created by the client, but lacks details on error handling, idempotency, or what happens if the id is invalid.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that gets to the point. However, it could include a bit more detail without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description adequately states the action and scope. However, it fails to describe the return value or any nuances, making it minimally complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description does not explain the 'id' parameter's meaning, format, or how to obtain it. The schema provides a pattern and examples, but no semantic help is given in the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Get' and identifies the resource as 'VAT lookup created by this client', clearly distinguishing it from sibling tools like create_vat_lookup which creates lookups.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you need to retrieve state/results of a previously created lookup, but it does not explicitly state when to use this vs alternatives like create_stripe_checkout or create_vat_lookup.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_x402_paymentAInspect
Get the x402 HTTP payment endpoint for an owned lookup, plus a hosted Stripe URL that a human can use instead. Calling this tool does not itself charge either payment method.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description correctly notes the non-charging behavior, but does not disclose other traits such as idempotency, error handling, or permission requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences front-load the purpose and add a key behavioral note. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one parameter and no output schema, the description explains what is returned (endpoint and URL) and notes safety, but does not explain 'owned lookup' or returned format, leaving minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Parameter coverage is 0% as description adds no information about the 'id' parameter beyond the schema's pattern and examples. With low coverage, the description should compensate but does not.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states verb 'Get' and specific resources: x402 HTTP payment endpoint and hosted Stripe URL. It distinguishes from sibling tools like create_stripe_checkout and get_vat_lookup by focusing on a payment endpoint retrieval.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description includes a key behavioral note that calling does not charge, but lacks explicit guidance on when to use this tool vs alternatives like create_stripe_checkout or other siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Added
get_x402_payment
3 tool updates
- First observed
create_stripe_checkout - First observed
create_vat_lookup - First observed
get_vat_lookup
Related MCP Connectors
Verify a company exists: UK, EU VAT, GLEIF LEI, 8 registers, search filters, UK filing history
Domain & brand intelligence: company enrichment, tech stack detection, brand research.
Search websites by source code, technology stack, analyze domains, and download lead lists.
Romanian business-registry lookup, director search, contact extraction, and WHOIS/DNS audit.
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