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

Annotations already declare readOnly, idempotent, closed-world and non-destructive behavior, so the safety profile is covered. The description adds the result cap (up to 10) and the per-result fields, which gives the agent a real sense of what comes back beyond the hint flags. It does not discuss ranking or empty-result behavior, keeping it out of 5 territory.

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?

Front-loaded with the verb and resource, then the useful category enumeration, then the result shape and next step. Every sentence carries information, though the category list is dense and could have been compressed.

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?

An output schema exists, yet the description still summarizes the return shape, and it names the follow-up tool for full text. For a two-parameter search tool, an agent has everything needed to invoke it correctly and act on results.

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 both parameters are documented in the schema, including the 1-10 limit bound and default. The description adds only marginal semantics (the category list suggests useful query terms), so the baseline 3 is appropriate.

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?

States a specific verb (searches) and a precisely scoped resource (questions and answers published by ProfitDrawer), then enumerates the topical categories covered. It is clearly distinguished from the sibling get_answer, which retrieves full text by id.

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?

Explicitly routes the agent: use get_answer with an id for the full text and source, which is the natural follow-up after a search hit. It lacks an explicit statement about when this is preferable to sibling retrieval tools like query_dataset or list_categories, so it falls short of a full 5.

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