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import_job_by_url

Import job postings from any URL (LinkedIn, Greenhouse, Lever, Workday) into your applications. Optionally trigger auto-apply.

Instructions

Import a job from a URL (e.g., LinkedIn, Greenhouse, Lever, Workday) and add it to your applications. Optionally trigger auto-apply immediately. Use this when a user has a direct link to a job posting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe job posting URL (supports LinkedIn, Greenhouse, Lever, Workday, and most ATS platforms)
autoApplyNoWhether to automatically apply to this job (default: false)
jobHuntIdYesThe job hunt ID to add this job to
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavioral traits. It mentions the main side effect: 'Optionally trigger auto-apply immediately', which is important. However, it lacks details about handling duplicate jobs, error conditions, or permission requirements.

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?

The description is two sentences, front-loaded with the main action, and has zero waste. Every phrase serves a purpose: what it does, supported examples, optional side effect, and when to use.

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?

For a simple 3-parameter tool with 100% schema coverage, the description adequately covers the main workflow and use case. It doesn't explain return values, but since no output schema exists, the core functionality and trigger conditions are sufficiently described.

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 description coverage is 100%, so the baseline is 3. The description adds mild value by clarifying that the URL is a direct link to a job posting and that autoApply is optional, but it doesn't add syntax or format details 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 specific action: 'Import a job from a URL' and 'add it to your applications', distinguishing it from siblings like add_job_to_applications that don't use URLs. The mention of supported platforms (LinkedIn, Greenhouse, etc.) adds specificity.

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?

The description provides a clear usage context: 'Use this when a user has a direct link to a job posting.' It doesn't name explicit alternatives or exclusions, but the context is sufficient for an agent to know when this tool is appropriate.

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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