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

Annotations only give readOnlyHint/openWorldHint; the description carries real load beyond that: what the page does (live spoken mock interview with an AI hiring manager), scoring behavior and the 90-second minimum, persistence to the account, the free-tier text-interview allowance, the 30-minutes/month Plus quota, and auth ('uses the connected account; no extra sign-in'). That is exactly the extra behavioral context structured fields do not provide.

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 the two input modes are front-loaded, and most follow-on sentences carry invocation-relevant detail (eligibility, persistence, auth). It is on the verbose side, packing interview experience, scoring, quotas, and account behavior into one dense paragraph, but little is pure 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?

For a link-returning read tool with no output schema, the agent has what it needs: which parameters go together, what the link leads to, what the user gets on the page, tier limits, and that no separate sign-in is required. Nothing material 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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: it clarifies that company_slug and job_slug are a paired path for Himalayas jobs while application_link is the alternative for external jobs. That relational guidance is genuinely useful beyond per-field descriptions.

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?

Specific verb (get) plus resource (interview practice page/link) scoped to a job, and it explicitly distinguishes the two input modes: a Himalayas job via company_slug+job_slug versus a job elsewhere via application_link. It also names the related siblings (list_interviews, get_interview_results), so an agent can separate it from those without opening schemas.

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?

Strong context for when to use it: for a specific job, with the two alternative parameter paths spelled out, plus the free-vs-Plus gating that tells the agent when the user is eligible. It stops short of explicit exclusions or a 'prefer X over Y' rule for the sibling result/inspection tools, so it lands at 4 rather than 5.

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