Chauffeur service options
get_service_optionsRead this provider's public service, required ride facts and booking link.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| locale | No | de |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_service_optionsRead this provider's public service, required ride facts and booking link.
| Name | Required | Description | Default |
|---|---|---|---|
| locale | No | de |
| 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, idempotentHint=true, and destructiveHint=false. The description adds useful context beyond those annotations by stating the data is 'public' and by naming the returned capability categories, which reinforces that no private or customer-specific data is involved.
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 one short, front-loaded sentence with no filler or repetition. It immediately communicates the verb, resource, and scope without requiring the agent to parse extra prose.
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 read-only tool with a single optional parameter, a rich output schema, and safety annotations, the description is largely complete. Minor gaps are the vagueness of 'required ride facts' and the absence of any guidance on how this differs from related offer and quote tools.
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 does not mention the locale parameter, but the single optional parameter is already self-explanatory via its name, enum of de/en, and default of de. The schema, rather than the description, carries the parameter semantics; the low descriptive coverage is not a meaningful gap for this trivial parameter.
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 a specific read verb and a concrete resource: 'Read this provider's public service, required ride facts and booking link.' This makes the tool's role clear, though it does not explicitly contrast it with sibling tools like quote_ride or get_offer_status.
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 that this tool is for retrieving provider service options and booking facts, but it gives no explicit when-to-use or when-not-to-use guidance. With siblings like prepare_offer and quote_ride in the same domain, an agent would benefit from clearer routing cues.
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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