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Prowlarr MCP server

by rollecode

update_applications_bulk

Idempotent

Update multiple Prowlarr applications in one API call by supplying the request body with the new field values. Applies changes to all specified applications.

Instructions

Update Application.

PUT /api/v1/applications/bulk

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

C2.9/5.0
Behavior2/5

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

The description adds only the suggestion to read the schema first, which is a discovery step rather than a behavioral disclosure. It doesn't mention partial failure semantics, idempotency beyond what the annotation already states, or any side effects. Since annotations already cover idempotency and non-destructiveness, the description adds minimal value beyond the pointer, but doesn't contradict them.

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 very short—two lines—and front-loads the purpose and HTTP method. Every sentence serves a function (purpose and a pointer to schema). However, it's so concise that it omits necessary detail, but that's a completeness issue, not a conciseness flaw. It earns points for not wasting words.

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 bulk update tool with an open-ended body, the description is insufficient. It doesn't explain the bulk request structure (array vs. object), whether the response returns updated items or errors, or how to handle partial failures. Even with the schema pointer, the agent lacks essential details about the bulk operation's semantics and response format, making it incomplete for reliable invocation.

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?

With schema description coverage at 0%, the body parameter is completely undocumented in the schema. The description compensates somewhat by telling the agent to read the matching GET or /schema endpoint to discover fields, which is a useful pointer. However, it doesn't specify whether the body should be an array of applications or a map, given the bulk context, leaving a critical gap in how to construct the payload.

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 the core purpose ('Update Application') and the bulk nature through the resource path ('/bulk'), which distinguishes it from the singular update_applications_by_id sibling. However, it doesn't explicitly explain that this handles multiple applications at once, leaving some ambiguity for an agent unfamiliar with the API structure.

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 on when to choose this bulk tool over the singular update_applications_by_id or how to structure the bulk request beyond pointing to GET or /schema endpoints. There's no mention of use cases, exclusions, or alternatives, so an agent would have to infer usage from 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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