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OrellBuehler

Tdarr MCP Server

by OrellBuehler

verify_plugin

Check if a plugin exists on the Tdarr server before adding it to a library stack. Specify plugin ID and community or local to get a boolean confirmation.

Instructions

Check whether a classic plugin exists on the server (POST /api/v2/verify-plugin). Returns a boolean — use it before adding a plugin to a library's stack.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
communityYestrue to look in Community plugins, false for Local
plugin_idYesPlugin ID

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations exist, so the description carries the full disclosure burden. It adds useful behavior context: the HTTP method (POST), the endpoint, and the return type (boolean). However, it does not state error behavior, whether any state changes occur, or permission requirements — though for an existence check these risks are low, the disclosure is not comprehensive.

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 sentences with no wasted words. The core action is front-loaded, followed by the return type and a usage hint. Every clause earns its place; the endpoint reference adds precision without bloat.

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 2-parameter boolean check with no output schema and no annotations, the description covers the essentials: purpose, endpoint, return type, and when to call it. Minor gaps remain — notably the meaning/behavior of a false result versus an error — but nothing critical is missing for correct invocation.

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% — both community and plugin_id are described in the input schema, so baseline 3 applies. The description adds contextual meaning (classic plugin, library stack) that indirectly clarifies plugin_id's role, but it provides no param-specific detail beyond what the schema already documents.

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?

States a specific verb and resource: 'Check whether a classic plugin exists on the server.' The 'classic' qualifier distinguishes it from flow-plugin tools (search_flow_plugins), and 'exists' differentiates it from verify_folder_exists (folder vs plugin) and search_plugins (searching vs existence check). The endpoint and boolean return tighten the definition further.

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?

Provides clear when-to-use context: 'use it before adding a plugin to a library's stack.' This positions the tool as a pre-condition check. However, it does not name alternatives or state when not to use it (e.g., when to prefer read_plugin or search_plugins), so it stops short of the full 5.

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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