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jobs_lever_postings

List a company's public Lever job postings, filtered by department, location, or remote. Uses the Lever slug from the careers URL.

Instructions

List a company's Lever postings. Lists a company's public Lever postings (detail is inline), optionally filtered by department, location, or remote. The company is the Lever slug from its careers URL. Credential-free public ATS JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
remoteNoFilter by remote (true or false)
companyYesLever company slug (careers URL)
locationNoFilter: location contains
departmentNoFilter: department contains
Behavior3/5

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

No annotations provided, so description carries burden. Discloses credential-free public access and inline detail. Does not mention rate limits, pagination, or data freshness, leaving some behavioral gaps.

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 concise sentences with no fluff. Front-loaded with primary action and resource, followed by details. Every sentence adds value.

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

Completeness3/5

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

No output schema provided, and description says 'detail is inline' but doesn't specify format. Agent lacks return structure, but the description is adequate for selection and parameter usage.

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% with descriptions. Description adds value by clarifying 'company' is the Lever slug from careers URL and explains filtering semantics, enhancing understanding beyond 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?

Clearly states the verb 'list' and resource 'Lever postings'. Specifies it's public, credential-free, and distinguishes from sibling tools like jobs_lever_posting (singular) by mentioning plural and filtering options.

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?

Explains when to use: to list a company's public Lever postings with optional filters. Provides context about company slug and credential-free access. Does not explicitly compare to alternatives or state when not to use.

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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