Cuvo overview and FAQ
get_overviewWhat Cuvo Health is, who it is for, and the canonical FAQ: the white label telehealth platform that operates the licensed clinic behind consumer brands.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_overviewWhat Cuvo Health is, who it is for, and the canonical FAQ: the white label telehealth platform that operates the licensed clinic behind consumer brands.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds content context but not much behavioral information such as response shape or format, though for a zero-parameter read-only overview this is a minor gap.
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 tightly packed sentence with no filler or redundant detail. It front-loads the core content and then gives the precise product context.
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, zero-parameter, read-only overview tool, the description covers what is returned, the intended audience, and the surrounding context. It does not explicitly describe the return format, but no output schema exists and the tool's nature makes that less critical.
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?
There are zero parameters and no required inputs, so there is nothing for parameter semantics to explain. The schema coverage is 100% by default, and the baseline for a 0-parameter tool is 4.
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 identifies the resource by saying what the tool provides: an overview of what Cuvo Health is, who it is for, and the canonical FAQ. It is distinguishable from article, comparison, and pricing siblings, though it does not name them explicitly.
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 phrase 'overview and FAQ' implies use for general background questions about Cuvo Health, and annotations indicate a safe read-only call. However, it does not explicitly say when to prefer it over get_article, get_comparison, or list_articles, so selection guidance is only implied.
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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Each tool maps to a distinct resource or action: content retrieval (get_article, get_comparison, get_overview, get_pricing), list indices (list_articles, list_comparisons), and scheduling actions (get_availability, book_discovery_call, request_callback). The only near-overlap, book_discovery_call versus request_callback, is clearly separated by their descriptions and required inputs.
All tool names follow a verb_noun snake_case pattern: get_* for singular resources, list_* for collection indices, and book_*/request_* for conversion actions. The naming style is consistent and the verb family matches the tool's role.
Nine tools is a well-scoped size for this server: individual content pages, content lists, and call-booking actions each earn their place. There is no redundancy or sprawl.
The tool surface covers the full website and lead-gen workflow: users can discover content, retrieve full pages, check availability, book a discovery call, or request a callback. The content tools feed directly into their paired retrieval tools, and the scheduling tools cover the expected alternatives.