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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered by structured data. The description adds nothing beyond that: no note on what a valid id looks like, whether the id comes from datasets_jobs_search, or what happens for a missing/invalid id.

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?

It is a single short sentence with no padding, which is good, but it is under-specified rather than truly concise — there is no front-loaded distinction from the other jobs tools to earn the space.

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?

An output schema exists so return values need not be explained, and the single parameter is documented. What is missing is the comparative context an agent needs to pick this tool over its many jobs siblings, making the definition only minimally viable.

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?

Only one parameter exists and schema description coverage is 100% ('The dataset posting id'), so the schema carries the burden. The description repeats the same minimal concept without adding format, source, or example detail; baseline 3 for a fully covered schema.

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?

The phrase 'Jobs dataset posting by id' does state a resource (a job posting) and, via 'by id', the lookup mechanism, so an agent can infer it returns a single posting. However the wording is a telegraphic fragment rather than a verb+resource statement, and it makes no attempt to distinguish itself from datasets_jobs_search, datasets_jobs_nearby, or datasets_jobs_company_item.

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?

There is no explicit when-to-use or when-not-to-use guidance. The 'by id' phrasing weakly implies this is for direct retrieval once an id is known (as opposed to searching), but the agent must infer that entirely on its own given several closely named jobs siblings.

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