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OrellBuehler

Tdarr MCP Server

by OrellBuehler

read_job_report_file

Read a job report file by its ID to view the detailed contents of a specific report when a job has multiple report files.

Instructions

Read one report file belonging to a job (POST /api/v2/read-job-file). Use it for the individual files listed by list_file_job_reports when a job produced more than one report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYesJob ID
job_file_idYesReport file ID, from list_file_job_reports
footprint_idYesFile footprintId, from get_file

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. The word 'Read' implies a non-mutating operation and the endpoint is supplied, but there is no explicit mention of side effects, return content, or authentication needs. This is adequate for a simple read but not highly transparent.

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?

The description is two sentences with no filler. The core purpose is front-loaded, and the usage note adds necessary context without redundancy.

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 three-parameter read tool, the description plus fully documented schema is largely complete: it says what the tool does, when to use it, and where the IDs come from. The main missing piece is explicit differentiation from the sibling get_job_report, and there is no output schema to clarify the return shape.

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 coverage is 100%, as each of the three parameters has a description already. The tool description adds no parameter-level detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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 clearly states the action ('Read') and the resource ('one report file belonging to a job'), and explicitly links to list_file_job_reports. It does not explicitly contrast with the sibling get_job_report, so it stops just short of fully distinguishing among all report-related tools.

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?

It gives a concrete when-to-use scenario: individual files from list_file_job_reports when a job produced more than one report. However, it does not mention get_job_report or state an explicit when-not-to-use condition, so alternatives are only partially addressed.

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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