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OrellBuehler

sonarr-mcp

by OrellBuehler

create_tag

Add a custom tag to label TV series, simplifying organization and filtering in your library.

Instructions

Create a tag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesTag label, e.g. 'anime'

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure, yet it discloses nothing beyond 'creates'. It does not state whether creating a duplicate label errors, whether tags are case-sensitive, what the success response looks like, or whether the operation has any side effects. For a mutation tool with zero annotation coverage, this is a significant gap.

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 a single three-word sentence with zero wasted words and is technically front-loaded. However, this is under-specification rather than disciplined conciseness — the brevity comes at the cost of all informative content, so it cannot be rated higher despite being short.

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 simple one-parameter creation tool, the description plus schema is minimally workable, but it is incomplete in meaningful ways: no output schema exists, so the agent does not know what the call returns; no annotations cover safety or side effects; and there is no guidance on duplicate-label behavior. Given the tag-related sibling cluster, a sentence about uniqueness or listing existing tags first would materially improve completeness.

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 description coverage is 100%, with the label parameter documented as 'Tag label, e.g. anime', so the schema already carries the semantic load. The description itself adds nothing about parameters, but per the baseline for high coverage, the schema is sufficient; the description does not need to compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Create a tag'), and the operation type distinguishes it from sibling tools like update_tag, delete_tag, and list_tags. However, it is essentially a near-verbatim restatement of the tool name and adds no information about what a tag is, how tags are used, or any constraints, so it barely clears the minimum viability bar.

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 provided about when to call this tool versus alternatives. An agent is given no hint that it should check existing tags via list_tags before creating, whether duplicate labels are rejected or idempotently handled, or when tag management is relevant at all. Sibling tools exist but are never referenced.

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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