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Set Job Description

set_job_description
Idempotent

Stores job description, company name, and CV text for a repository to guide subsequent teaching and interview sessions.

Instructions

Store the prep context: job description, and optionally company name and CV text, tied to a repo. Call this when the user pastes or describes any of them. Once set, use it throughout: in teach mode, point out where the code demonstrates JD-required skills; in interview mode, probe JD-required concepts the repo does NOT demonstrate (e.g. 'the JD requires Docker and your repo has no containerization — how would you containerize this app?'). The JD is returned by get_progress so returning sessions stay JD-aware.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepo id in owner/repo form this JD applies to
companyNoCompany name, for company-specific briefing and question style
cv_textNoThe candidate's CV/resume text — every claimed skill becomes bootcamp + interview material
job_descriptionYesThe full job description text, or the user's summary of the role
Behavior4/5

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

Annotations already indicate idempotent, non-destructive writes. Description adds that data is tied to a repo and persists across modes. Could mention overwrite behavior but idempotent hint covers it. No contradictions.

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?

Three sentences: core purpose, when to call, and usage in modes. Front-loaded with key action. Every sentence adds unique value without redundancy.

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?

Given full schema descriptions, annotations, and no output schema needed, the description covers storage, usage, and retrieval via get_progress. Adequately complete.

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

Parameters5/5

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

Schema covers all 4 parameters with descriptions. The tool description adds meaningful context about how each parameter is used (e.g., cv_text becomes bootcamp + interview material), going beyond the schema.

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?

The description clearly states the tool stores job description, company, and CV text tied to a repo. It uses specific verbs and distinguishes from sibling get_progress, which retrieves this data.

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

Usage Guidelines5/5

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

Explicitly says to call when the user pastes or describes any of these items. Provides detailed guidance on how the stored data is used in teach and interview modes, and notes that get_progress returns the JD for session awareness.

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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