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SiteCheck Shop & Social

Social Upwork

social_upwork
Read-only

Upwork open jobs for one skill (e.g. python, shopify, video-editing): the newest 30 freelance jobs with title, description (first 600 characters), hourly or fixed budget, experience level, duration, weekly hours, skills, posted time and link, plus the total number of open jobs for that skill. From upwork.com's public freelance-jobs pages through a residential proxy. 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)
skillYesSkill slug as in upwork.com/freelance-jobs/<skill>/, e.g. 'python', 'wordpress', 'data-entry'

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond readOnlyHint/openWorldHint: discloses the residential-proxy sourcing, the 30-job and 600-character truncation limits, that the count of total open jobs is included, and an unusual but critical pricing model ($0.002 USDC per successful call via x402, failures uncharged). The billing detail is exactly the kind of behavior an agent must know before calling.

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?

Front-loaded with purpose and output shape, then sourcing, then cost. The single long sentence is dense but every clause carries information; a period or two before the pricing sentence would improve scanability slightly.

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

Completeness5/5

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

Return fields need not be spelled out because an output schema exists, yet the description still previews them, and it covers sourcing, limits, and cost. Nothing an agent needs to decide whether to call this tool and what it will spend is missing.

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%, so the schema already carries slug format and the 1–30 limit range; that sets a baseline of 3. The description adds the ordering guarantee ('newest 30') and reiterates the skill-slug convention with concrete examples, which meaningfully clarifies what the limit parameter selects.

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 ('Upwork open jobs for one skill') plus scope ('the newest 30 freelance jobs'), and enumerates the returned fields. No sibling tool covers Upwork, so the resource itself is distinguishing, and the scope makes clear it is a per-skill job feed rather than a search over people or a single listing.

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?

Implies usage clearly: call it with a skill slug matching upwork.com/freelance-jobs/<skill>/ to get that skill's open jobs. It gives no explicit when-not guidance or alternatives, but there is no plausible competing sibling in this toolset, so the risk of mis-invocation is low.

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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