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PostKing MCP Server

PostKing MCP Server

by bitsandtea
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

reddit_generate_pool

Start asynchronous generation of a subreddit pool for a brand by crawling relevant subreddits. Returns an operationId to poll for completion and retrieve results.

Instructions

Kick off async generation of a subreddit pool for the brand — finds relevant subreddits by crawling Reddit. Typically takes ~1–3 min. Returns { operationId, status }. Poll get_job with the operationId until state=completed, then call reddit_get_pool to see results. Reddit is a repurpose-to-Reddit workflow, NOT a scheduled publishing medium.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

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

Input Schema

NameRequiredDescriptionDefault
brandIdNoBrand ID (defaults to active brand)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.7

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description discloses the asynchronous behavior, expected duration (~1-3 min), and return shape ({ operationId, status }). It also clarifies the workflow's purpose (repurpose to Reddit), which adds context beyond the raw operation, though it does not state potential side effects or required permissions.

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?

The description is three sentences, front-loaded with the core purpose, then timing/returns, then workflow/context. Every sentence earns its place with no filler or redundancy.

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

Completeness5/5

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

For a single-parameter async generation tool with no output schema, the description explains the return value, the polling pattern, and the follow-up call, plus the workflow context. This is sufficient for an agent to use the tool correctly and know what to expect.

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?

The input schema already fully describes the only parameter brandId (including default behavior), achieving 100% schema coverage. The description names the brand but does not add any extra semantic detail beyond the schema, so the baseline of 3 applies.

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 ('Kick off') and resource ('subreddit pool for the brand'), clearly distinguishing this async generator from sibling tools like reddit_get_pool (which retrieves results) and reddit_suggest (likely a suggestion tool). It also explains the underlying mechanism (crawling Reddit) and the brand context.

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?

The description provides clear usage guidance: it explains the async flow (poll get_job until completed, then call reddit_get_pool) and clarifies when NOT to use it (not a scheduled publishing medium). It does not explicitly contrast with all sibling tools but gives enough context to know when this tool is appropriate.

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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