suggest_pattern

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

Annotations indicate readOnlyHint=true and idempotentHint=true, so the agent knows this is a safe, repeatable operation. The description adds value by specifying the domain ('RxJS patterns and best practices') and scope ('common use cases'), which provides context beyond the annotations. However, it lacks details on output format, potential rate limits, or error handling, which would enhance transparency further.

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, efficient sentence: 'Suggest RxJS patterns and best practices for common use cases.' It is front-loaded with the core purpose, contains no redundant information, and every word contributes to understanding the tool's function. This exemplifies optimal conciseness without under-specification.

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 tool's moderate complexity (2 parameters, no output schema) and rich annotations (readOnlyHint, idempotentHint), the description is minimally adequate. It covers the purpose but lacks details on output format, error cases, or integration with sibling tools. With no output schema, the description could benefit from hinting at return values, but it does not, leaving some gaps in completeness.

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 description coverage is 100%, with both parameters ('useCase' and 'framework') well-documented in the schema, including enums and defaults. The description does not add any parameter-specific details beyond what the schema provides, such as explaining the use cases or framework implications. Given the high schema coverage, a baseline score of 3 is appropriate as the description does not compensate but also does not detract.

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 tool's purpose: 'Suggest RxJS patterns and best practices for common use cases.' It specifies the verb ('suggest') and resource ('RxJS patterns and best practices'), making the intent unambiguous. However, it does not explicitly differentiate from sibling tools like 'analyze_operators' or 'generate_marble,' which might overlap in RxJS-related functionality, so it falls short of a perfect score.

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 provides no guidance on when to use this tool versus alternatives. It mentions 'common use cases' but does not specify which ones or how it differs from siblings such as 'analyze_operators' or 'execute_stream.' There is no mention of prerequisites, exclusions, or contextual cues for selection, leaving the agent with minimal direction.

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