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

Annotations already declare readOnlyHint and destructiveHint false, and the description adds useful behavioral context such as the 30-day time limit and that each job includes a LaraBench detail page and possibly an original apply URL. This goes beyond the annotations by clarifying data scope and return characteristics, though it doesn't mention pagination or ordering.

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 two sentences, front-loaded with the core purpose and key result details. Every clause adds value: the first sentence states the resource and result content, the second adds temporal and URL context. There is no redundancy or filler.

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 provides essential context about the data source (LaraBench) and time bound (last 30 days), which is valuable given the tool's 10 optional parameters. Since an output schema exists and the annotations cover safety, the description is sufficient for a useful overview, though it could mention default ordering or filter combination semantics for full 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%, so the baseline is 3. The description does not add extra meaning to the parameters; it only mentions that results include certain fields, which doesn't explain parameter usage. The schema already documents each parameter adequately, so no deduction is needed.

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 searches Laravel jobs indexed by LaraBench, and specifies the data returned (description, salary, seniority, employment type). It also distinguishes from the sibling tool search_laravel_news by focusing on jobs rather than news, making the purpose unambiguous.

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 usage for querying recent Laravel jobs, and the sibling tool's existence suggests a contrast, but there is no explicit when-to-use or alternative statement. The usage context is clear enough from the description, but it does not explicitly say when not to use it or offer alternatives.

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