Read a game’s rules
arcade_rulesRead the section for one game from the public AI playbook.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| game | Yes |
arcade_rulesRead the section for one game from the public AI playbook.
| Name | Required | Description | Default |
|---|---|---|---|
| game | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only and not open-world, and the description adds the context that the playbook is 'public', implying no authentication. This is useful but does not go beyond basic safety traits; no rate limits or additional side effects are disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler, front-loading the action and resource. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter, read-only lookup tool, the description is adequately complete. It identifies the source (public AI playbook) and scope (one game), and the schema supplies valid values, so no critical information is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description should compensate but merely says 'one game'. It does not explain the meaning of the game parameter beyond what the property name and enum already convey, adding almost no semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The title and description clearly state the tool reads a game's rules from the public AI playbook, identifying a specific verb and resource. However, it does not explicitly differentiate from the sibling arcade_read_game, so it stops short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use this tool versus alternatives like arcade_read_game or arcade_games. There is no mention of context, exclusions, or prerequisites, leaving the agent to infer usage.
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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