Get company details
kashflow_get_company_detailsThe KashFlow company: name, address, contact, VAT registration, currency, payment terms and business type. SOAP GetCompanyDetails.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
kashflow_get_company_detailsThe KashFlow company: name, address, contact, VAT registration, currency, payment terms and business type. SOAP GetCompanyDetails.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the returned field list and notes the underlying SOAP operation, which provides some useful context, but it does not describe authentication, rate limits, or error behavior.
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 short and front-loads the resource name followed by the returned fields. It uses sentence fragments rather than full sentences, but every element adds information without waste.
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 zero-parameter read-only getter with no output schema, the description sufficiently signals what data is available by listing the company fields. It could say more about the return structure, but annotations cover the safety profile and the field list covers the essential output content.
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 tool has zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and the empty schema is consistent with a no-argument getter.
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 identifies the resource ('The KashFlow company') and enumerates the specific fields returned (name, address, contact, VAT registration, currency, payment terms, business type), which distinguishes it from sibling tools focused on customers, suppliers, invoices, and reports. It lacks an explicit verb like 'retrieve', but the purpose is still clear.
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 gives no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The unique zero-parameter nature makes its usage somewhat inferable, but the description itself provides no explicit usage context.
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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