alterlab_enable_beta_feature

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

With no annotations, the description mentions idempotency and experimental nature, but does not disclose potential side effects, permissions required, or reversibility (e.g., via 'alterlab_disable_beta_feature'). More behavioral context would be beneficial.

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 consists of two concise sentences with no wasted words. It front-loads the action and efficiently adds necessary context.

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 single-parameter tool with no output schema, the description adequately covers purpose, parameter guidance, and a related sibling. It could mention the response format, but it's not essential.

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?

Schema coverage is 100% and the description adds value by providing an example slug format and referencing the list endpoint for discovery, going beyond the schema's minimal description.

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 the action ('Opt in to a beta feature'), the resource ('AlterLab account'), and distinguishes it from siblings like 'disable_beta_feature' and 'list_beta_features'.

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 advises to use 'alterlab_list_beta_features' to discover available slugs, guiding when to use the tool. It does not explicitly state when not to use it, but the context is sufficient for a simple opt-in tool.

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