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Glama

Upwork MCP Server

Submit Draft

upwork__confirm_draft
Destructive

Confirm and execute a previously prepared draft for job postings, proposals, invitation accepts, invitations, milestones, profile updates, and offer decline / request-changes. Requires draft_id from the prior draft action. Do NOT use to ACCEPT an offer — accepting is finalized on upwork.com via the finalize_url returned by respond_to_offer accept.

WRITE OPERATION — REQUIRES EXPLICIT USER CONFIRMATION. You MUST present full action details and receive explicit approval before executing. Each write requires separate confirmation even if the user said "approve all".

Actions:

  • confirm: Confirm and execute a draft using draft_id only. Params: type (string, required), draft_id (string, required — from the create draft response). Do not pass the returned params; they are loaded from server storage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesThe operation to perform
paramsYes
org_uidYesYour Upwork org_uid from list_accounts

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Beyond the annotations' destructiveHint=true, the description discloses the mandatory user-confirmation behavior: 'WRITE OPERATION — REQUIRES EXPLICIT USER CONFIRMATION' and 'Each write requires separate confirmation even if user said approve all'. It also clarifies that server-stored params are executed, adding meaningful operational transparency. No contradiction with annotations.

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

Conciseness5/5

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

Every sentence carries useful information, from the core purpose to the explicit exclusion to the user-confirmation requirement. The description is long only because the tool has complex operational constraints; none of the content is filler.

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?

The description covers purpose, prerequisites, exclusions, confirmation behavior, and parameter semantics thoroughly. The only notable gap is that it does not describe the return value or result details after executing a draft, and there is no output schema to fill that gap.

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?

The description adds important draft_id semantics ('from the create draft response', 'executes stored server params only — do not pass confirm payloads') beyond the schema. The type param is thoroughly covered by the schema enum and its description, so little extra description is needed. Overall the description compsensates well for the 67% schema coverage.

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 ('Confirm and execute'), a clear resource ('previously prepared draft'), and lists covered draft types. It explicitly distinguishes itself from offer acceptance by saying 'Do NOT use to ACCEPT an offer', which separates it from sibling workflows.

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

Usage Guidelines5/5

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

It clearly says when to use the tool: after a prior draft action and with a required draft_id. It also gives explicit exclusions: offer acceptance must go through the finalize_url from respond_to_offer, and confirm_draft must not receive confirm payloads. This is strong routing guidance.

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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TDQS

A3.9/5.0
Disambiguation3/5

Most tool names are distinct, but several surfaces overlap: find_jobs and get_job_posting both provide marketplace job search/get, and list_offers' list and list_mine are duplicates. The verbose descriptions help, but an agent could still select the wrong tool, especially when actions are nested inside tools.

Naming Consistency4/5

All tools share the upwork__ prefix and a snake_case verb_noun pattern, which is easy to scan. There are minor inconsistencies in verb choice (get_account vs list_accounts, get_messages vs send_message) and a few vague names, but no chaotic mixing of conventions.

Tool Count2/5

33 tools is over the 25+ threshold and includes redundancies like duplicate marketplace job search surfaces and list/list_mine in list_offers, plus several meta/config tools. The broad Upwork domain explains some of the count, but the surface is heavier and more duplicated than it needs to be.

Completeness3/5

Client-side workflows are well covered: job posting, proposals, offers, contracts, milestones, messaging, and financials. However, core freelancer flows are incomplete—there is no tool for submitting a proposal or accepting an offer—and descriptions reference missing tools such as list_freelancer_proposals and respond_to_offer, creating notable dead ends.

Resources