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List interview practice

list_interviews
Read-only

List the user's interview practice on Himalayas: each job they practised for, when, and the link to practise again, plus the voice minutes and credits they have left. get_interview_results shows the scores. Uses the connected Himalayas account; no extra sign-in needed.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by enumerating the concrete returned fields (practice history, remaining voice minutes/credits) and confirming no additional authentication is required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the verb and resource, then the returned contents, then the sibling pointer and auth note. Three tightly packed sentences with no filler, though the enumerated payload runs slightly long.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of describing returns and does so thoroughly (jobs, timing, link, voice minutes, credits). Combined with the read-only annotation, an agent has everything needed to call and interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-param tool applies. The description correctly focuses on output rather than inventing parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb (List) and resource (user's interview practice on Himalayas), with the payload spelled out: each job practised for, when, the re-practise link, voice minutes, and credits. It also explicitly differentiates itself from get_interview_results ('shows the scores'), so an agent can distinguish it from siblings without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It names the sibling alternative get_interview_results and the condition that routes to it (scores), and clarifies the auth model ('Uses the connected Himalayas account; no extra sign-in needed'). It stops short of stating explicit when-not conditions, but the routing guidance is clear.

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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