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

The annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds only the qualifier 'public' and 'most relevant.' It does not disclose how relevance is determined, whether it performs a search across all resources, or how the limit parameter affects results. Beyond the annotations, it provides minimal extra behavioral context.

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, front-loaded sentence with no redundancy. Every word serves a purpose, making it immediately parseable and efficient.

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?

While an output schema exists and parameters are fully covered, the tool operates in a context with many closely related siblings. The description offers no information about ideal use cases, prerequisites, or how it differs from recommendation/selection tools, leaving the agent without enough context to choose appropriately.

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%, so all three parameters are already documented. The description mentions 'niche' and 'problem' implicitly but adds no additional semantics, staying at the baseline for full coverage.

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 a specific action (recommend) and resource type (public resources or kits) with context (niche and problem statement). It's distinct from many siblings like get_kit or list_resources, though it doesn't explicitly name an alternative to avoid confusion.

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?

There is no guidance on when to use this tool versus the numerous siblings such as get_recommendation_profile, select_best_engine, or get_resource. The description implies it's for recommendation, but no exclusions or conditions are stated, leaving the agent to guess.

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