faceit_getHubRules

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

No annotations are provided, so the description must disclose behavioral traits. It correctly indicates a read operation (retrieve) and describes the endpoint and parameter. However, it does not mention authentication, rate limits, or any side effects. It is adequate but not rich.

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 extremely concise: a single-line purpose, a usage instruction, the endpoint, and the parameter details. Every sentence is necessary and front-loaded. No wasted words.

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?

Given the simplicity of the tool (1 parameter, no output schema, no annotations), the description covers the essentials. It explains the purpose, the parameter, and the returns. It could be more specific about what 'Rules details' contains, but it is sufficient for an agent to use the tool correctly.

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?

The input schema has one parameter (hub_id) with no description (0% coverage). The description adds that it is a path parameter, required, and of type string, and ties it to the endpoint. This adds meaningful context beyond the bare schema.

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 description clearly states 'Retrieve rules of a hub' and specifies the endpoint. Among many hub-related sibling tools (e.g., faceit_getHub, faceit_getHubLeaderboards), this one is uniquely about rules, so it distinguishes itself well.

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 says 'Use to read the rules document attached to a hub,' which implies the context but does not provide explicit when-not-to-use or alternative tools. There is no guidance on when to choose this over other hub retrieval tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.