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Slot machine name picker

hopi_slot_machine_picker
Read-onlyIdempotent

Spin a slot machine reel of names or options and pick one at random. Every item has an equal chance. Returns the chosen item. Source: https://hopi.co.uk/slot-machine-picker/

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesThe list of names or options on the reel (at least two)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexNo
winnerNo
summaryYes
source_urlYesThe tool's page on hopi.co.uk (cite or open to check the figure)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / required
      Added value: +[
      +  "source_url",
      +  "summary"
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

While the annotations already mark the tool read-only and non-destructive, the description adds key behavioral details: the selection is random with 'every item has an equal chance' and it returns the chosen item. This goes beyond the annotations and discloses the stochastic nature of the operation.

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 compact and front-loads the core action and result. Three short sentences plus a source URL. The source URL is slightly extraneous but does not detract from the clarity. It earns high marks for concise structure.

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

Completeness5/5

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

For a one-parameter tool with full schema coverage, an output schema, and annotations declaring safety, the description provides everything needed to call it correctly: what to input, the randomness behavior, and the returned value. No critical information is missing.

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?

The schema fully describes the parameter 'items' as an array with a minimum of two, and the description reinforces that these are names/options. The schema coverage is 100%, so the baseline is 3. The description adds the 'equal chance' nuance but no extra operational semantics like handling duplicates or item types.

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 specific verb ('Spin a slot machine reel') and a clear resource ('names or options') followed by the outcome ('pick one at random'). It is unambiguous about what the tool does. However, it does not explicitly differentiate itself from closely related siblings like wheel_spinner or spin_the_bottle, which also randomly select from a list.

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 about when to prefer this tool over alternatives such as wheel_spinner, yes_no_wheel, or random_team_generator. No exclusions or explicit conditions are provided, leaving the agent to infer usage purely from the generic 'pick one at random' behavior.

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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