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rollecode

Prowlarr MCP server

by rollecode

list_log

Read-onlyIdempotent

Fetch Prowlarr logs with filters for level, sorting, and pagination to diagnose errors and monitor activity.

Instructions

Read Log.

GET /api/v1/log

Args: page: Query parameter. page_size: Query parameter. sort_key: Query parameter. sort_direction: Query parameter. level: Query parameter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
levelNo
sort_keyNo
page_sizeNo
sort_directionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds only 'Read Log' and the GET endpoint, without disclosing pagination behavior, sorting semantics, level filtering, or response characteristics.

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

Conciseness3/5

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

The description is compact and front-loaded with the endpoint, but the repeated 'Query parameter' lines add little value and the overall structure is more of a schema echo than meaningful guidance. It is not bloated, but it also does not make every sentence informative.

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

Completeness2/5

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

For a 5-parameter tool with zero schema descriptions, the definition is incomplete: it lacks parameter meaning, accepted level values, sort key options, and pagination details. The output schema and annotations cover some context, but an agent still cannot confidently construct a correct request.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description needed to explain the parameters, but it merely repeats their names and labels each as a 'Query parameter'. It does not define valid values, defaults, relationships, or expected formats, especially for sort_direction and level.

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 clear verb and resource ('Read Log') and provides the exact endpoint, so an agent knows this tool reads log data. However, it does not explicitly distinguish this from sibling tools like list_log_file or list_log_file_update, leaving some ambiguity about what 'Log' contains.

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?

The description gives no guidance on when to use this tool versus alternatives such as list_log_file, list_log_file_update, or list_history. There is no mention of use cases, exclusions, or preferred conditions.

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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