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Jobs Devbg Bulgarian Jobs

jobs_devbg_bulgarian_jobs
Read-only

Bulgarian IT jobs from DEV.BG for a technology category (e.g. python, java, javascript, devops, qa): job title, company, location, work mode (on-site/hybrid/remote), tech stack icons, salary when published, posting date as shown (Bulgarian) and job URL, from the public category listing page (first page). Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
categoryYesDEV.BG category slug, e.g. python, java, javascript, php, devops, qa, data-science (required)

Output Schema

NameRequiredDescriptionDefault
jobsNo
countNo
sourceNo
categoryNo
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 only declare readOnlyHint and openWorldHint, so the description earns credit for disclosing the paid-call model ($0.002 USDC per successful call via x402, failed calls not charged) and the first-page-only coverage limit. It does not mention rate limits or what happens on an invalid category slug, keeping it short of a 5.

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 and every clause carries information; there is no filler. Minor inefficiency: the long enumeration of returned fields duplicates what the existing output schema already defines.

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 one-parameter read tool with an output schema, the description covers purpose, source, scope limit (first page), data quirks (Bulgarian date format, salary only when published) and cost model. Remaining gaps are minor: no failure behavior for unknown category slugs and no pagination guidance.

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 coverage is 100% and the single required 'category' parameter is already documented with slug examples in the schema, so the description's list of example categories (python, java, javascript, devops, qa) merely repeats it. Baseline 3 applies since the schema does the heavy lifting.

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 and resource (fetch Bulgarian IT jobs from DEV.BG for a technology category) plus the exact fields returned, so it is instantly distinguishable from the ~60 other job-board siblings by source site and geography. No ambiguity about what the tool does.

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?

Scope is implied: DEV.BG is a Bulgarian board and only the first page of the category listing is returned, which implicitly tells the agent this is a shallow, source-specific fetch. However, there is no explicit when-to-use statement, no 'use X instead for remote/other countries' routing, and no note about how to get beyond page one.

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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