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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: the upstream sources (Remotive, Himalayas, Jobicy, Remote OK), the attribution obligation, and the note that `say` handles crediting automatically.

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 purpose before the examples, and each sentence is largely functional. The redundant 'Job Spotter.' opener and five near-identical example queries add some length that could be trimmed without loss.

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?

No output schema exists, yet the description says only that it returns listings from named sources and covers the natural-language input model well. It stops short of describing the return shape (fields, ordering), but for a search tool with a full schema and rich annotations this is close to complete.

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%, so the baseline is 3, but the description adds real value by explaining that everyday phrasing is parsed — level words, 'remote', 'in <city>', and 'this week' are mapped to level/where/posted_within_days. This tells the agent it can pass natural language rather than only structured values.

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 and resource ('Search current job listings') and reinforces intent with concrete query examples like 'find remote Python jobs'. The purpose is unmistakable, but it never names the sibling jobspotter_get_job, so the search-vs-fetch distinction is left to inference.

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?

Provides rich, concrete usage context via query examples ('marketing jobs in New York', 'nurse jobs in Manchester') and explains how to route words between what and where. However, it gives no when-not-to-use guidance or explicit alternatives (e.g., use get_job for a single listing), so it stops short of the top band.

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