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Submit an article draft

submit_article_draft

File the client's article draft against a paid order. The order id plus the billing email on the order prove ownership — a wrong pairing reads exactly like a missing order. The order must be paid: an unpaid order has bought nothing yet. The draft goes to the editorial team; a human reviews and approves it before anything is published, so never tell the client it is published or scheduled. Confirm the draft text with a human before filing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draftYesThe article text the client wrote.
emailYesThe billing email on that order.
titleNoWorking title for the piece.
orderIdYesThe orderId returned by create_order.
authorNameNoByline, if the client wants one.
referredByNoWho you are — your agent, agency or product. Recorded as an unverified claim so we can see which agents send work.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Annotations mark this as a non-read-only, non-idempotent, open-world write; the description adds substantial context beyond that: the paid-order requirement, the ownership-proof pairing, that a human reviews/approves before publication, and the explicit caution never to tell the client it is published or scheduled. That is meaningful behavioral guidance the agent cannot get from the annotations.

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-loads the core action and then layers prerequisites and cautions in short sentences. Mostly earns its length, though "an unpaid order has bought nothing yet" restates the paid requirement already stated in the prior clause.

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 submission tool with no output schema, the description covers the essential behavior: prerequisites, ownership proof, and the human-review/approval pipeline. It does not describe what the call returns (e.g., confirmation or draft status), which would fully close the loop.

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 baseline is 3, but the description adds a cross-parameter rule the schema does not state: orderId and email must actually correspond, since a mismatched pair is indistinguishable from a missing order. This genuinely extends parameter meaning, though per-parameter formats are left to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Uses a specific verb and resource: "File the client's article draft against a paid order." The scope (a submitted article draft tied to an order, routed to editorial) is concrete and distinct from a generic content submission. It does not name a sibling such as submit_content to sharpen the contrast, so it falls short of 5.

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?

Gives clear preconditions for use: the order must be paid and the order id + billing email must be a valid pairing, with a note on how a wrong pairing looks ("reads exactly like a missing order"). It also instructs to confirm the draft with a human before filing. No sibling alternatives are named, so it is clear context without explicit when-not alternatives.

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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