get_job_status

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

With no annotations supplied, the description carries the full behavioral burden. 'Report' weakly implies a read-only diagnostic, but it never confirms that nothing is mutated, never says whether memory cache entries expose sensitive or user-specific data, and never mentions cost, rate limits, or freshness of the reported status. For a zero-annotation tool, this leaves the safety and side-effect profile largely unstated.

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 short sentence with no filler, and the resource list is front-loaded. It is efficient, though the four-item enumeration is a bare list rather than a structured statement of what is actually returned or when it matters.

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 the description need not document return values, and there are no parameters to explain. What is missing is the connection between the name get_job_status and the described engine-status/health behavior, plus any indication of scope or intended use. Adequate as a minimum-viable definition, but not sufficient to remove ambiguity about what this tool is for.

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 there is nothing for the description to disambiguate and the schema-coverage baseline is satisfied. The description does not need to explain argument meaning, though it also does not clarify whether the reported status is scoped to a caller, a workspace, or the whole engine — which is effectively the only semantic question a caller could have.

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 description names a specific set of resources (engine status, version, memory cache entries, health) with the verb 'Report', so the operation itself is legible. However, it does not match the tool name get_job_status, which implies reporting the progress/state of an asynchronous job; an agent scanning for job-status information would not learn from the description whether this tool returns that. The mismatch with the name and with the crawling/extraction sibling set leaves selection ambiguous.

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 statement of when to call this tool, no prerequisites, and no reference to any alternative among the eleven sibling tools. An agent must infer that this is a diagnostic/health-check call rather than a data-retrieval call. No exclusions or triggers are given.

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