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

Annotations already declare readOnly/idempotent/openWorld=false, so safety is covered. The description adds genuinely useful behavior beyond that: the ranking tiebreak order, the upstream public source URL, and the important caveat that sponsorship mentions are signals rather than promises. It does not mention result count formatting or freshness, keeping it at 4.

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?

Three sentences, front-loaded with what the list contains and how it is ranked; every sentence carries information. The middle ranking sentence is dense but functional, and the caveat at the end is well placed.

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?

With no output schema, the description adequately conveys what comes back (employers with counts, ordered by sponsorship mentions then likely E-7 roles then open jobs) and where the data originates. Minor gaps like data freshness or exact response shape keep it from 5.

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 (limit, include_teaching) are fully documented in the schema, so the schema does the work. The description adds no parameter-level meaning beyond the schema baseline.

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 resource (employers in South Korea with open jobs on Seoulstart that mention visa sponsorship or are likely E-7 roles) and the ranking order, which is far more specific than the title. It doesn't name the sibling search_jobs or explicitly contrast with it, so it falls short of 5.

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 implied: use this to get an employer-level list of likely sponsors rather than individual postings, and the closing caveat clarifies that a mention is not a guarantee. However, there is no explicit 'use this instead of search_jobs when...' routing or exclusion guidance.

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