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fieldjoshua

Upwork MCP Server

by fieldjoshua

List Saved Jobs

upwork_list_saved_jobs
Read-onlyIdempotent

Retrieve your saved Upwork jobs to revisit favorited opportunities. Browse your list with pagination controls.

Instructions

List jobs you've saved/favorited on Upwork.

Retrieves your saved jobs list for easy access to opportunities you're interested in.

Args:

  • limit (number): Max results (default: 20, max: 100)

  • offset (number): Pagination offset (default: 0)

  • response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: List of your saved jobs with basic details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of jobs to return (default: 20)
offsetNoNumber of results to skip for pagination
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it returns a paginated list, supports markdown/json output, and provides default limits. This is appropriate given the annotation coverage.

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 concise and front-loaded with the core purpose in the first sentence. The Args and Returns sections are clearly structured and easy to parse, though the Args list partially duplicates schema descriptions.

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 read-only list tool with no required parameters and full schema coverage, the description is largely complete. The return value is described as a list with basic details; while the exact fields are not enumerated, this is a minor gap since no output schema exists and the tool is straightforward.

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 description coverage is 100%, so the schema fully documents all three parameters. The description's Args section essentially repeats the schema information without adding meaningful new semantics, so the baseline of 3 is appropriate.

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 uses a specific verb ('List') and resource ('jobs you've saved/favorited on Upwork'), making the tool's purpose unmistakable. It clearly distinguishes itself from sibling tools like upwork_search_jobs by focusing on saved/favorited jobs rather than all jobs.

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 clearly implies this tool is for retrieving previously saved jobs, which gives an agent clear context for when to choose it over search or single-job retrieval. It doesn't explicitly name alternatives or exclusions, but the saved-jobs scope is unambiguous and sufficient for this simple tool.

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