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OrellBuehler

Tdarr MCP Server

by OrellBuehler

get_process_info

Retrieve the process tree for the Tdarr server and all connected nodes, showing PID, PPID, executable, script, and memory usage to spot stuck ffmpeg/HandBrake child processes.

Instructions

Get the process tree of the server and every connected node — pid, ppid, executable, script and memory usage per process (POST /api/v2/get-process-info). Useful for spotting stuck ffmpeg/HandBrake child processes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It explains what data is returned and the endpoint, but it does not explicitly state that the operation is read-only, whether it may be expensive on large node counts, or any other behavioral caveats. The 'get' wording implies a safe read, but more explicit disclosure would strengthen it.

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 two sentences with no filler. The main action and returned fields are front-loaded, and the practical use case is added in a compact second sentence.

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 no-parameter, no-output-schema read tool, this description is complete: it identifies the resource, the scope, the returned process attributes, the endpoint, and a real-world diagnostic use case. Nothing essential is missing for an agent to select and invoke it correctly.

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?

The tool has zero parameters, so the baseline is 4. The description correctly avoids inventing parameter-related detail and focuses on what the tool returns, which is sufficient.

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 states a clear verb ('Get') and a specific resource: the process tree of the server and every connected node. It enumerates the returned fields (pid, ppid, executable, script, memory usage) and includes the exact endpoint, making it easy to distinguish from sibling tools like get_status or get_resource_stats.

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 gives a concrete use case: spotting stuck ffmpeg/HandBrake child processes. This provides clear context for when to call the tool, though it does not explicitly name alternatives or state when not to use it.

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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