Skip to main content
Glama

Jobpost

Server Details

Read the job posting from any career page: title, employer, dates, salary. Paid per call, x402.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion among tools. The tool's purpose is clearly described.

Naming Consistency5/5

The single tool name 'extract_job_posting' follows a clean verb_noun convention. With only one tool, there are no inconsistencies to evaluate.

Tool Count3/5

One tool feels minimal for a server named 'Jobpost', but it is appropriately scoped for a focused extraction use case. Borderline between thin and acceptable.

Completeness2/5

The server only extracts a job posting from a URL. There are no tools for searching, listing, or managing job postings, leaving significant gaps if the server is meant to cover a broader job domain.

Available Tools

1 tool
extract_job_postingAInspect

Read the structured job posting (schema.org JobPosting) from a web page: title, employer, locations, remote, employment type, dates, salary, requirements, description and the apply link. Returns the job, never the people: contact persons, email addresses and phone numbers are removed. A page without a posting is not charged.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe posting's page: an employer's career page or a job board's detail page.

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden, and it does well: it explicitly promises never to return people, removes contact persons/emails/phones, and states that pages without a posting are not charged. It could add error/timeout behavior, but the key behavioral caveats are present.

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 compact sentences: the first identifies the tool and its output fields, the second adds a critical privacy behavior, the third adds the billing rule. No filler or 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?

With a single fully-documented parameter and no siblings, the description covers input, output fields, privacy behavior, and billing. It lacks a formal return shape, but since there is no output schema, the enumerated fields are enough for an agent to invoke correctly.

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?

The only parameter, url, is already fully described in the schema (100% coverage) as the posting page, and the tool description mostly restates this. It adds contextual nuance that the page must contain structured JobPosting, but the schema already captures the input semantics.

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?

States a specific verb ('Read') and resource ('structured job posting (schema.org JobPosting) from a web page'), and enumerates the exact fields returned. This clearly distinguishes the tool's purpose from generic web scraping or people lookup, and there are no siblings to conflate it with.

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 establishes when to use the tool: on a URL that is a job posting page containing schema.org JobPosting, and notes that pages without a posting are not charged. It does not name alternatives or exclusions, but no sibling tools exist, so this is a clear enough usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedextract_job_posting

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Searches 104 job listings with natural-language filters and retrieves full postings via MCP tools.
    3
    18 PyPI
    27
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables users to retrieve live job postings from any iCIMS career site, providing structured data including title, requisition ID, employer, locations, employment type, dates, salary, and apply links.
    -
  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that analyzes job descriptions for ATS compatibility, red flags, salary benchmarks, and keyword optimization. Accepts $0.01 USDC per request via x402 protocol.
    -
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources