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TVLSS

HireJack

Interview Prep

interview_prep
Read-only

Generate targeted interview prep for any job: key topics, likely questions with answer tips, and company-specific research based on job description and tech stack.

Instructions

Generate targeted interview prep for a specific job: 5 key topics (deep vs surface depth based on job seniority), 5 likely questions by type (technical, behavioral, system design) with answer tips, and 3 company-specific research items. Premium tier. Uses job description + company tech stack + user skills as context. Use for 'help me prep for my Anthropic interview' or 'what should I expect in this loop?'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoFull HireJack job detail URL. Convenience alternative to passing `domain` + `jobId` separately.
jobIdNoPass the `id` field from a `search_jobs` result VERBATIM — do not reformat (ids may contain '#' separators; keep them). Required unless `url` is provided.
domainNoCompany domain (e.g. 'anthropic.com'). Required unless `url` is provided.
Behavior4/5

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

Annotations declare readOnlyHint=true, and description adds behavioral context: premium tier, uses specific context, generates prep. No contradiction, and description enriches transparency beyond annotations.

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?

Single paragraph with clear listing of outputs, tier, context, and usage examples. Every sentence adds value, no redundancy.

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?

No output schema, but description explains return structure (topics, questions, research items). Covers inputs and context. Complete for a read-only tool with well-documented parameters.

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

Parameters3/5

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

Schema has 100% coverage, and description mentions context usage but does not add new parameter details beyond schema. Baseline 3 is appropriate.

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?

Uses specific verb 'generate' and resource 'interview prep', lists exact outputs (5 key topics, 5 questions, 3 research items), and distinguishes from sibling tools by explicitly stating its function and premium tier.

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?

Provides explicit example queries ('help me prep...', 'what should I expect...') and mentions context (job description, company tech stack, user skills). Lacks explicit when-not-to-use or alternatives, but usage 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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