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Glama

Spin Wheel Names

get_wheel

Fetch a specific saved wheel from spinwheelnames.com by its slug or id, including its entries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe wheel slug or custom id (from a spinwheelnames.com URL).

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

There are no annotations, so the description carries the full burden. It does disclose that this is a read/fetch operation and that entries are included in the result. However, it does not describe the return shape, failure behavior, or any other side effects, which leaves a moderate gap.

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 a single well-structured sentence: it names the action, the target resource, the identifier type, and the included content with no filler. Every part earns its place.

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 one-parameter read operation, the description is nearly complete: it says how to identify the wheel and what is returned. It does not specify the exact response format, but given the lack of an output schema and the low complexity, this is acceptable.

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%, and the id parameter is already described as the wheel slug or custom id from a spinwheelnames.com URL. The description mostly restates that selector and adds 'including its entries', adding little semantic value beyond the schema. Baseline 3 applies.

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

Purpose5/5

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

The description uses a specific verb (Fetch) and clearly identifies the resource: a specific saved wheel from spinwheelnames.com, addressed by slug or id, with entries included. This distinguishes it from siblings like search_wheels and spin_wheel right away.

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?

The description clearly implies the intended use: when you already have a wheel slug or custom id from a spinwheelnames.com URL and want the full saved wheel. It does not explicitly list when not to use it or name alternative tools, but the context is clear enough.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: fetching a saved wheel, searching wheels, spinning a list, and picking a random number. The descriptions make any potential overlap between random selection tools easy to resolve.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern: get_wheel, pick_random_number, search_wheels, spin_wheel. The one pluralization difference is natural and does not hurt predictability.

Tool Count5/5

Four tools is a well-scoped set for this domain. Each tool serves a distinct user need without unnecessary duplication or bloat.

Completeness4/5

Core use cases are covered: finding, retrieving, and spinning wheels, plus numeric random picks. Missing create/update/delete operations for saved wheels is a minor gap, but users can still accomplish random selection tasks without persistence.

Resources