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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description does add genuinely useful context beyond that: links are authenticated and files are NOT injected into model context, which sets agent expectations about what it can actually read. It stops short of stating permission requirements or the shape of the returned links.

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?

Two short sentences, zero filler. The primary action and its outputs are front-loaded, with the context limitation on files placed last as a caveat.

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 one-parameter read tool with rich annotations and no output schema, the description does cover what is returned (result, output, report links) and the file-access caveat. It is still thin on error/ownership behavior and on how to obtain a job id in the first place relative to the surrounding experiment-job tools.

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?

One parameter with 0% schema description coverage, so the schema supplies only 'type: string, format: uuid'. The description contributes the ownership constraint ('an owned experiment'), implying the job must belong to the caller, but never explains the identifier itself or what happens on a non-owned/unknown job.

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?

Uses a specific verb (Inspect) on a specific resource (an owned experiment) and enumerates what comes back: authenticated result, output and calculation-report download links. It implicitly contrasts with the list-style sibling emt_experiment_jobs but never names it, so differentiation is left partly 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?

Usage is only implied: the single required 'job' id and the word 'owned' suggest you call this when you already hold an experiment job UUID. There is no explicit when-to-use/when-not-to-use guidance and no mention of emt_experiment_jobs as the alternative for discovery.

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