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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the required view-token provenance ('from the paid reply'), the fields returned (state, report, alerts), and the cost model ('Free'). It does not mention error behavior or pagination, but that is a minor gap against an already-covered read-only profile.

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 compact sentence with no filler, and the key scoping detail (the token source) is front-loaded. The trailing 'Free.' is terse but purposeful. The grammar is somewhat compressed to the point of being cryptic, which slightly hurts immediate parseability.

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?

There is no output schema, so the description correctly carries the burden of describing the return payload (state, report, alerts). It also covers the auth-style requirement via view_token provenance and the cost. For a two-parameter read tool this is nearly complete; only error/pagination behavior is unaddressed.

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 description coverage is 0% for both parameters, so the description must compensate. It does explain where view_token comes from ('from the paid reply') and that job_id identifies the job, which adds real meaning over the bare schema. However, it does not clarify the gk_ id format or the token's minimum length constraints present in the schema, so compensation is only partial.

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 verb and resource (retrieve a job by id) and enumerates the returned content (state, report, alerts), which is more than the title restates. The sibling tools (about, analyze_token, monitor_token, resolve_ticker) are in a different domain, so no differentiation is needed, but the description does not name them. The phrasing 'a job by its id with the view token from the paid reply' is a bit compressed but decipherable.

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: you need a view token obtained from the 'paid reply' and the call is 'Free', which hints at a cost contrast. There is no explicit statement of when to use this versus alternatives, nor any exclusions or prerequisites beyond the token origin. Adequate but leaves the agent to infer context.

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