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devzspy

discourse-mcp-extended

by devzspy

Get Draft

discourse_get_draft

Retrieve and parse a previously saved draft using its draft key to access title, reply, category, tags, and action.

Instructions

Retrieve a specific draft by key. Returns JSON with draft_key, sequence, and parsed data (title, reply, categoryId, tags, action).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sequenceNoExpected sequence number (optional)
draft_keyYesDraft key (e.g., "new_topic", "topic_123", "new_private_message")
Behavior2/5

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

No annotations provided. The description does not disclose safety (read-only vs destructive), potential errors (e.g., draft not found), or side effects. It only states it returns JSON.

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?

Two perfectly sized sentences: first states the core action, second details the return value. Every word adds 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?

For a simple read tool with no output schema, the description adequately explains what is returned. Could mention error handling or prerequisites, but overall sufficient.

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%, but the description adds value by explaining the draft_key format with examples and specifying the return fields (draft_key, sequence, parsed data with subfields), which helps the agent understand parameter usage and output.

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 'Retrieve' with resource 'draft', clearly identifies the key parameter, and distinguishes from sibling tools that deal with topics, users, queries, etc.

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?

No guidance on when to use this tool versus alternatives, nor any conditions that might make it unsuitable. The agent must infer from the name and sibling list.

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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