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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and closed-world scope, so the safety profile is fully covered structurally. The description adds only the fact that this is a fixed four-level scale, with no notes on caching, freshness, or anything beyond the annotations.

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?

A single front-loaded sentence stating what is returned, followed by a compact clause that contextualizes the scale's role. No filler or repetition of the tool name.

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 parameterless reference lookup with no output schema, the description adequately tells the agent what comes back (four level definitions). It could go slightly further by describing how levels are labeled or ordered, but nothing essential for correct invocation is missing.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter behavior for the description to clarify, and nothing misleading is claimed about inputs.

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 (returns) and resource (the definitions of Level's four AI-impact levels, AI Level 1 to AI Level 4), plus the scope of what the scale applies to. It is clearly distinct from the job/company/stats siblings, though it never names an alternative to differentiate itself explicitly.

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?

Usage is only implied: by noting the scale is 'the scale every job listing ... is rated against', it hints the agent should call this to interpret AI-level values returned by search_jobs or list_companies_by_ai_level. There is no explicit when-to-use statement, prerequisite, or named alternative.

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