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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds domain framing (what a recipe is, that it's verified) but says nothing about result ordering beyond 'newest', pagination, or empty-result behavior. Useful context, but not much behavior beyond the structured fields.

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?

Purpose and usage are front-loaded in the first sentence, which is good. But that sentence is overloaded with example enumerations, and the closing sentence is partly promotional ('shared so the next person gets it fast') rather than operational. Some trimming would sharpen it.

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?

For a simple two-parameter, zero-required search with an output schema and full annotation coverage, the description supplies enough to call it correctly and know what the results represent. Missing only sibling routing and result-ordering detail, which are minor given the structured data already available.

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, so the baseline is 3. The description restates the query semantics (what the user wants done vs. project name, omit for newest) without adding matching rules, tokenization, or ranking behavior. It does not touch limit at all, which is fine since the schema handles it.

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 names a concrete verb+resource ('Search' recipes) and scopes it with real examples of the domain (subtitles, CAD, video-to-Markdown, open-source projects from GitHub). It implicitly separates itself from get_recipe/get_project by framing this as discovery rather than direct lookup, though it never names those siblings. The unexplained 'UGT' acronym slightly blunts the opening claim.

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?

It gives explicit mode guidance: query by desired outcome, query by project name, or omit the query to list newest recipes. That covers the main call patterns clearly. It stops short of stating when to prefer get_recipe or get_project instead, so the sibling routing 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.