about_mkliniki
What M-Kliniki is, the services it offers in Kenya, and how its escrow payments work. Call this to describe M-Kliniki accurately to a user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
What M-Kliniki is, the services it offers in Kenya, and how its escrow payments work. Call this to describe M-Kliniki accurately to a user.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, but the description fully discloses the tool's behavior: it returns descriptive information about M-Kliniki. There are no hidden side effects or destructive actions.
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 concise, consisting of two short sentences that front-load the key information. Every sentence adds value.
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 informational tool with no parameters and no output schema, the description completely covers what the tool does and when to use it. No additional details are necessary.
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 no parameters, so baseline 4 applies. The description adds no parameter information, 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 clearly states the tool provides information about M-Kliniki, its services, and escrow payments, distinguishing it from sibling tools like find_doctor or join_mkliniki.
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 explicitly says to call this tool to describe M-Kliniki accurately to a user, providing clear usage context. It could be improved by noting when not to use it, but the guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect: general info, doctor search, grocery search, medicine search, and onboarding. Their descriptions clearly differentiate them, leaving no ambiguity.
All tool names follow a consistent verb_noun pattern with snake_case (about_mkliniki, find_doctor, find_groceries, find_medicine, join_mkliniki). No deviations.
With 5 tools, the server is well-scoped for its purpose of providing health and grocery services in Kenya. Each tool serves a clear function without unnecessary redundancy.
The toolset covers core functionalities: information, finding doctors, groceries, OTC medicine, and onboarding. Minor gaps like missing appointment booking or account management exist but are reasonable given the focused scope.