Get the current user
kisi_get_current_userThe Kisi user the API key belongs to (id, name, email, organization). Good first call. GET /user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
kisi_get_current_userThe Kisi user the API key belongs to (id, name, email, organization). Good first call. GET /user.
| 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, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the returned field set (id, name, email, organization) and ties the resource to API-key identity, but says nothing about auth requirements or failure modes.
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?
Three short fragments, front-loaded with the resource definition, then usage hint, then endpoint. Every clause carries information and none is wasted.
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?
With no parameters and no output schema, the description compensates by enumerating the returned fields (id, name, email, organization), which is exactly what an agent needs to consume the response. Nothing material is missing for such a simple read tool.
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 takes zero parameters, so per the baseline there is nothing for the description to disambiguate. It correctly avoids inventing parameter semantics that don't exist.
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?
States a specific resource and scope: 'The Kisi user the API key belongs to,' which cleanly distinguishes it from the sibling kisi_get_user (fetches an arbitrary user by id). The parenthetical list of returned fields and the explicit 'GET /user' endpoint make the purpose unambiguous.
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?
'Good first call' gives concrete usage context — an agent knows to invoke this early to establish identity. However, it does not name an alternative or state when not to use it, so it falls short of explicit when/when-not 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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