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rollecode

Audiobookshelf MCP server

by rollecode

create_podcasts_opml_parse

Idempotent

Extract podcast feeds from OPML text to bulk-import subscriptions into Audiobookshelf.

Instructions

Get feeds from OPML text.

POST /api/podcasts/opml/parse

Args: body: Request payload. Read the matching GET or the /schema endpoint first to see the fields this resource expects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already indicate the operation is idempotent and non-destructive, lowering the burden on the description. The description adds the HTTP method and resource path, but it does not clarify whether parsed feeds are only returned or also persisted, and it omits permission/auth context. No contradiction with annotations.

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, front-loads the core purpose, and has no redundant filler. Each line earns its place, though more behavioral detail could be added without hurting conciseness.

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

Completeness3/5

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

With an output schema and idempotent/non-destructive annotations present, the definition does not need to explain return values or safety. However, it leaves the body shape to be discovered externally and gives no usage context or side-effect clarification, so it is minimally viable rather than fully self-contained.

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 0% and the body is an opaque additionalProperties object, so the description must compensate. Saying 'body: Request payload' plus directing the agent to read the /schema endpoint is a useful discovery cue, but it supplies no actual field semantics.

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?

The description opens with 'Get feeds from OPML text', which clearly states the action and input resource. It conveys that this tool parses OPML text into feeds, though it does not explicitly name or contrast the sibling create_podcasts_opml_create.

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?

There is no explicit statement about when to use this tool versus alternatives, nor any exclusions or prerequisites. The only guidance is to read the matching GET or /schema endpoint, which is about parameter discovery, not usage context.

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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