get_service_info
Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get information about MyDriverParis services, coverage areas, airports served, and policies. Use this to answer customer questions.
| 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, and the description aligns by saying 'Get information.' It adds useful context about the specific domains covered (coverage areas, airports, policies), going beyond the annotation. It does not describe response structure or limitations, but the readOnly hint lowers the burden.
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 with front-loaded action and resource. The second sentence adds practical usage guidance without redundancy. Every word serves a purpose.
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 tool is simple (no parameters, no output schema) and the description covers its purpose, content domains, and intended use case. Combined with clear annotations, it is fully adequate for an agent to select and invoke it.
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 schema already fully describes them (baseline 4). The description adds no parameter-level detail, but none is needed.
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 verb ('Get information') with a clear resource ('MyDriverParis services, coverage areas, airports served, and policies'). It distinctly separates this from sibling tools like book_ride or get_quote by focusing on general service facts.
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?
It explicitly states when to use the tool ('Use this to answer customer questions'), providing clear context. However, it does not mention when not to use it or name alternative tools, stopping short of full exclusion guidance.
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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