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

With readOnlyHint=true already covering safety, the description adds meaningful behavior: titles are resolved against the catalog first, and unresolved titles are reported rather than guessed. This is a valuable disclosure of failure handling beyond what annotations provide.

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?

Two sentences with no filler. The core behavior is front-loaded, and the resolution/reporting detail earns its place as the most important behavioral caveat.

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 primary workflow and a key failure mode, and annotations establish safety. But there is no output schema, and the under-documented limit and isFiction parameters are not explained, so an agent cannot fully determine the meaning and appropriate values for those options.

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 only 33% (titles has a schema description, but limit and isFiction have none). The tool description does not compensate: it only restates 'by title' and says 'a few books,' leaving the meaning of limit and isFiction under-specified for an agent.

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: give Siftivo titles of liked books and receive similar book recommendations. It identifies the input resource ('by title') and the output concept ('books like them'), which distinguishes it from recommend_from_description even without naming it.

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 implies the use case: when a user has a set of liked book titles and wants recommendations. However, it does not explicitly mention the sibling recommend_from_description or state when the title-based tool should be preferred over the description-based one, so alternative selection is left to inference.

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