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rollecode

Audiobookshelf MCP server

by rollecode

list_logger_data

Read-onlyIdempotent

Retrieve logger data from Audiobookshelf to inspect system logs and diagnose issues.

Instructions

Get api logger-data.

GET /api/logger-data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), and the description adds no behavioral context beyond restating the GET endpoint. It discloses no auth requirements, response characteristics, or meaning of 'logger-data', contributing nothing beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is under-specified rather than concisely informative. The two lines ('Get api logger-data' and 'GET /api/logger-data') repeat the same information, so the second line does not earn its place; this is terse restatement rather than structured, value-dense content.

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?

For a zero-parameter, read-only tool with an output schema and strong annotations, the description is minimally sufficient to invoke the tool. However, it leaves the agent without any sense of what logger-data contains or when it is relevant, which matters given the large sibling set.

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 there is nothing the description needs to document. The baseline of 4 applies; the absence of parameter prose is not a gap.

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 states a specific verb and resource ('Get api logger-data') and gives the concrete endpoint 'GET /api/logger-data'. This is clear enough for an agent to know what the tool retrieves, though it does nothing to differentiate it from the many sibling list_*/get_* tools.

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 guidance on when to use this tool versus alternatives such as list_notificationdata, list_stats_server, or list_sessions. No context, prerequisites, or exclusions are provided, so the agent must guess based on the name alone.

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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