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get_company_fleet

One Czech company's registered fleet profile by IČO: vehicles owned now and ever, vehicles OPERATED (e.g. leased fleets), median holding period, owner-type classification (dealer / leasing / company / OSVČ), the paginated fleet list incl. former holdings, and its vehicles currently for sale on the market.

Input Schema

NameRequiredDescriptionDefault
icoYesCzech IČO (1–8 digits)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does well: it discloses scope (owned now AND ever, plus operated/leased fleets, not just registry ownership), that the fleet list is paginated and includes former holdings, and that market listings are appended. It does not state read-only nature explicitly (implied by 'get'), nor what happens for an unknown or malformed IČO.

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?

A single front-loaded sentence that puts the resource and key first and then enumerates the payload. It is dense and run-on, but every clause names a distinct returned field rather than padding.

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?

With no output schema and no annotations, the description must explain the return payload, and it does so comprehensively, including the non-obvious 'operated' and 'former holdings' scopes. The gap is operational: pagination is mentioned but no parameter controls it, and error/empty behavior for an invalid IČO is unstated.

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?

Only one parameter, with 100% schema description coverage already documenting 'Czech IČO (1–8 digits)'. The description's 'by IČO' and 'Czech company' restate that without adding format, padding, or lookup-failure guidance, so the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: the registered fleet profile for one Czech company keyed by IČO, and enumerates what it returns (owned/operated vehicles, holding period, owner-type, fleet list, market listings). It does not explicitly distinguish itself from the sibling search_company_fleets (lookup vs search), so an agent must infer the relationship.

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?

The phrase 'by IČO' implies this is the detail call you make once you have an identifier, contrasting implicitly with the sibling search_company_fleets. However, there is no explicit when-to-use, no stated prerequisite (e.g. resolve the company via search first), and no exclusion of 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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