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Jobs Arc Dev Jobs

jobs_arc_dev_jobs
Read-only

Remote engineering and other roles listed on Arc.dev, read from the job list embedded in its public page: title, job type, experience level, posted time, annual or hourly pay when given, skill categories. The company name is not present in the public list, so it is not returned. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many jobs, 1 to 30 (default 10)

Output Schema

NameRequiredDescriptionDefault
jobsNo
countNo
totalNo
sourceNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds real context on top: data is scraped from the job list embedded in the public page, the company name is structurally absent and therefore not returned, and each successful call costs $0.002 USDC via x402 while failures are free. That cost and data-gap disclosure is exactly the kind of thing the agent needs before invoking. No pagination or rate-limit detail, though.

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?

Purpose is front-loaded in the first clause, followed by returned fields, the company-name caveat, and pricing; each sentence carries information. The field enumeration is slightly long given an output schema exists, but it is not wasteful.

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 an output schema present, the description doesn't need to explain return shapes, and it covers the essentials: source, field coverage, known data gap, and per-call cost. The only gap is guidance on result-set sizing beyond what the schema already states.

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?

There is a single parameter with 100% schema description coverage ('How many jobs, 1 to 30 (default 10)'), so the schema carries the burden. The description adds nothing about the limit or default, hence the baseline 3.

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 states a specific verb and resource — remote engineering roles listed on Arc.dev — and pins the exact source site plus the fields extracted (title, job type, experience level, posted time, pay, skills). Against 60+ sibling job-board scrapers, naming Arc.dev is what lets an agent distinguish it without opening the schema.

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

Usage Guidelines3/5

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

Usage is only implied: an agent infers it should call this when Arc.dev listings are wanted. There is no statement of when-not to use it and no pointer to an alternative sibling such as jobs_we_work_remotely or jobs_wellfound_jobs for overlapping remote-engineering coverage.

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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