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Audiobookshelf MCP server

by rollecode

create_authors_by_id_image

Idempotent

Upload an author image to Audiobookshelf using the author ID and image data. Use this to set or replace the author's profile picture.

Instructions

Add an author image to the server.

POST /api/authors/{id}/image

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate idempotentHint=true, readOnlyHint=false, and destructiveHint=false, and the description does not contradict them. The description adds the endpoint and a discovery instruction for the payload, but it does not disclose any additional behavioral traits such as overwrite semantics, response status, or required permissions. With annotations covering the safety profile, a 3 is appropriate.

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-loaded with the purpose. The endpoint line adds useful precision, and the Args section is compact. Minor redundancy like 'to the server' and 'Request payload' does not significantly hurt, but the description is not maximally tight.

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?

The description is adequate for a two-parameter tool with annotations and an output schema. It tells the agent how to handle the uncertain body schema by pointing to the GET and /schema endpoints. However, for an image-related write operation, it leaves ambiguity about content type or body format, and the 'matching GET' reference may not directly describe the create payload. Overall it is usable but not fully complete.

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?

Schema coverage is 0%, so the description must compensate. It does meaningfully: 'id: Path parameter' clarifies the role of id, and 'body: Request payload' plus the instruction to read the matching GET or /schema endpoint gives the agent a concrete path to discover the otherwise opaque body fields. This goes beyond the bare schema even though it does not enumerate the fields itself.

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 opens with a specific verb and resource: 'Add an author image to the server.' This clearly identifies the action and target, and the explicit POST /api/authors/{id}/image endpoint reinforces it. It is easily distinguished from siblings like get_authors_by_id_image and delete_authors_by_id_image.

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?

No guidance is given about when to use this tool versus alternatives such as get_authors_by_id_image, delete_authors_by_id_image, or patch_authors_by_id. The note about reading the matching GET or /schema endpoint is about constructing the body, not about tool selection, so the intended usage context is left implicit.

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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