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One draft, with its current approval and latest job

getDraft
Read-only

One draft, with its current approval and latest job

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "getDraft"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesDraft ID or stable workspace post number, such as "#38" or "38".
workspaceNoLeave out for the token's workspace (ws_…).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / id / description
      Added value: +"Draft ID or stable workspace post number, such as \"#38\" or \"38\"."
    • changedInput schema / properties / id / pattern
      Previous value: -"^drf_[a-z0-9]{16}$"New value: +"^(?:drf_[a-z0-9]{16}|#?[1-9]\\d*)$"
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered externally and the bar is lower. Beyond that, the description adds nothing: it does not say whether the approval or latest job may be absent, whether errors occur for unknown IDs, or how cross-workspace access behaves.

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?

It is a single short phrase with zero padding and the key content (draft + approval + latest job) is front-loaded. Its brevity is efficient, though it borders on under-specification rather than tight writing.

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

Completeness3/5

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

With no output schema, the description does at least name the return composition (the draft, its current approval, its latest job), which is the minimum an agent needs, and params are fully documented in the schema. It remains silent on nullability of the approval/job and on failure modes for a simple two-parameter read.

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%, including the accepted ID formats ("drf_…" or "#38"/"38") and the workspace fallback, so the schema does the heavy lifting. The description contributes nothing about the parameters, which is the expected baseline of 3 when the schema is fully documented.

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

Purpose2/5

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

Tautological: description restates name/title.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all: nothing says whether to prefer this over checkDraft, or how it relates to listJobs for the 'latest job' portion. The agent must infer from the name alone that this is the fetch-single-draft call.

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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