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agentic_rtorrent_workflow

Automate multi-step torrent and search tasks: an LLM orchestrates actions like searching, adding, and legal checks using available tools in response to natural-language prompts.

Instructions

RTORRENT_AGENTIC_WORKFLOW - Multi-step torrent/search automation via sampling with tools.

PORTMANTEAU PATTERN RATIONALE: One entry point for LLM-orchestrated flows (search, add, legal check) without hard-coding sequences in the client.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_iterationsNoMax LLM rounds (default 8).
available_toolsYesTool names the LLM may call (e.g. torrent_management, search_management).
workflow_promptYesWhat to accomplish in natural language (e.g. search Nyaa and add best match).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavior and side effects. It conveys high-level orchestration but never states that invoking it can trigger mutating actions (e.g., adding torrents via available_tools), how the loop terminates, or whether the workflow can call any of the listed tools. The mention of 'add' hints at side effects but does not make them explicit.

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?

The description is short and front-loads the main purpose: 'Multi-step torrent/search automation via sampling with tools.' The 'PORTMANTEAU PATTERN RATIONALE' label is slightly jargon-heavy and redundant, but it does not bloat the text.

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

Completeness2/5

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

For a workflow that can invoke multiple management tools, the description lacks execution-level details: it does not explain that the LLM may call any available_tool, that this can have side effects, or what causes it to stop. The presence of an output schema covers return values, but core behavior and safety context remain underspecified.

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%, so the baseline is 3; the schema already documents workflow_prompt, available_tools, and max_iterations. The description adds only a few examples and a rationale, not deeper semantic meaning.

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?

Description identifies a specific capacity: multi-step torrent/search automation with an LLM orchestrating tool calls, and explicitly names included flows (search, add, legal check). It is not a tautology, but it does not sharply differentiate from the sibling workflow_management tool.

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?

States a clear context: use as one entry point for LLM-orchestrated flows, avoiding hard-coded sequences in the client. It does not enumerate when-not-to-use or name alternatives explicitly, so it misses the top anchor.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.