search_redis_documents

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

No annotations are provided, so the description carries full burden. It discloses that the tool returns a list of documentation results or an error dict, and implies a read-only operation. No side effects or destructive behavior are indicated, which is accurate for a search tool.

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 front-loaded with the main purpose and includes a structured list of use cases. It is appropriately detailed without being verbose, though the bullet list could be slightly more concise.

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?

The description covers the tool's purpose, use cases, parameter description, and return type (with output schema present). It lacks detail on limits like max results or pagination, but is largely complete for a knowledge base search tool.

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 0%, so description must compensate. The Args section explains the 'question' parameter as 'The question about Redis concepts, data structures, features, or use cases', adding crucial semantic context beyond the schema's type-only definition.

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 explicitly states the tool searches Redis documentation and knowledge base, and lists specific use cases (e.g., Session Management, Caching, Rate Limiting). It clearly distinguishes from sibling tools which are all data manipulation operations.

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 'must be invoked every time the user wants to learn more' and enumerates use cases, providing clear context for when to use. It does not explicitly mention when not to use, but the sibling context makes it clear this is for learning vs. data operations.

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