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Get interview practice results

get_interview_results
Read-only

Get the scores and feedback from the user's interview practice for one job: each answer's rating and feedback, and for voice sessions the overall score, what went well, what to improve, next steps and length. Pass the interview id from list_interviews, or the job's company_slug and job_slug. Uses the connected Himalayas account; no extra sign-in needed.

Input Schema

NameRequiredDescriptionDefault
idNoInterview id from list_interviews
job_slugNoJob slug
company_slugNoCompany slug of the job

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 genuinely useful context beyond that: it uses the connected Himalayas account with 'no extra sign-in needed', and discloses what the returned data contains (ratings, feedback, and voice-session specifics).

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

Conciseness5/5

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

Two sentences, front-loaded with purpose, then parameter routing, then auth reassurance. The return-value enumeration is long but earns its place since there is no output schema to carry that information.

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

Completeness4/5

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

With no output schema, the description takes on the burden of describing returns and does so well, plus covers auth and both lookup paths. Only minor gaps remain (e.g., behavior when neither key resolves or the interview does not exist), keeping it just under a 5.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning: it explains that the id comes from list_interviews and that company_slug and job_slug are used jointly as an alternative lookup key, which the terse schema descriptions ('Job slug', 'Company slug of the job') do not convey.

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?

States a specific verb and resource ('Get the scores and feedback from the user's interview practice for one job') and enumerates the actual return contents, including the voice-session breakdown. An agent can immediately tell it apart from link/list siblings like get_interview_practice_link and list_interviews.

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?

Gives clear invocation context: use the id from list_interviews, or the job's company_slug plus job_slug as an alternative key, establishing a natural chaining order. It lacks any explicit when-not-to-use or exclusion relative to siblings, so it stops short of a 5.

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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