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fieldjoshua

Upwork MCP Server

by fieldjoshua

Get Job Details

upwork_get_job
Read-onlyIdempotent

Retrieve complete details for any Upwork job using its ID, including full description, budget, client history, skills, and application requirements.

Instructions

Get detailed information about a specific Upwork job.

Retrieves complete job details including full description, client history, and requirements.

Args:

  • job_id (string, required): The unique job identifier

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

Returns: Complete job details including description, budget, skills, client info, and application requirements.

Examples:

  • Get job details: job_id="~01abc123def456"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesThe unique identifier of the job to retrieve
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

A3.6/5.0
Behavior3/5

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

Annotations already signal readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds the scope of the returned data, e.g., client history and requirements, but does not disclose any additional behavioral context such as whether client history may be partial or whether authentication is required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably organized with Args, Returns, and Examples sections, but it is repetitive: 'Get detailed information', 'Retrieves complete job details', and 'Returns: Complete job details' all say nearly the same thing. Some redundancy could be trimmed without losing value.

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?

This is a simple read-only tool with only two parameters, and the description covers the required argument, the optional response format, the default format, and expected return contents. Since there is no output schema, the explicit Returns section is valuable and sufficiently covers what an agent needs to know.

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 both parameters are already documented in the schema. The description repeats the parameter names and includes an example job_id, but adds little semantic meaning beyond what the schema provides.

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 and resource, 'Get detailed information about a specific Upwork job', and enumerates the kind of content returned, such as full description, client history, and requirements. This clearly distinguishes it from sibling tools like search_jobs, save_job, or get_contract.

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?

The phrase 'a specific Upwork job' and the required job_id parameter imply this tool is for fetching details when the caller already knows the job identifier. However, it does not explicitly state when to use this tool instead of alternatives like upwork_search_jobs or upwork_get_job_recommendations.

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