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HasData

hasdata-mcp

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glassdoor_job: GET /

hasdata_glassdoor_job_getJobDetails

Extract full job details from any Glassdoor job posting URL. Retrieve job title, company rating, salary estimate, description, qualifications, and apply link for ATS ingestion or comp benchmarking.

Instructions

Get GlassDoor Job Details

Fetches a Glassdoor job posting by its vacancy URL. Returns job title, company name and rating, location, salary estimate, employment type, posted date, full job description, qualifications/benefits, and apply link. Use for ATS ingestion, job aggregators, comp benchmarking, enrichment of company profiles, and feeding descriptions into LLM matching or resume-tailoring pipelines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the job vacancy to retrieve details for.
Behavior2/5

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

No annotations are provided, and the description does not disclose side effects, authentication requirements, rate limits, or failure conditions like invalid URLs.

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

Conciseness4/5

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

The description is well-structured with a clear first paragraph on purpose and output, followed by use cases. It is concise but could front-load the most critical info.

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 detail retrieval tool with one parameter and no output schema, the description adequately covers input, output, and use cases.

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% for the single parameter, but the description adds value by listing the extensive set of returned fields, which helps the agent understand output context.

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 it fetches a Glassdoor job posting by vacancy URL and lists the returned data. It distinguishes from the sibling tool hasdata_glassdoor_listing_getJobListings, which searches for listings.

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?

Use cases are provided (ATS ingestion, job aggregators, etc.), but there is no explicit when-not or comparison to alternatives like the listing tool.

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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