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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description goes beyond them by disclosing that no credits are spent or reserved and by naming the output field (blocking_errors) and the downstream field (max_quoted_credits), which is genuinely useful behavioral context.

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?

Three sentences, all load-bearing, with the purpose front-loaded and the workflow/constraint following. No 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?

There is no output schema, and the description compensates by telling the agent to inspect blocking_errors. For a validate-and-estimate tool it is largely complete, though the opaque nested 'input' object and the required 'tool' parameter remain unexplained.

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 four parameters, so the description carries the burden. It gestures at 'scientific input/settings' and a credit budget, but the required 'tool' parameter is never mentioned, and the description's 'max_quoted_credits' does not match either billing field name in the schema, leaving the mapping ambiguous.

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 compound verb (validate + estimate credits) applied to a specific resource (scientific input/settings), with an explicit negative scope ('without submitting or spending'). This cleanly separates it from the submit_job sibling, which is the operation it feeds into.

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?

It states the exact workflow: inspect blocking_errors, then pass the accepted amount as max_quoted_credits to submit_job. It also names the boundary condition ('a quote does not reserve credits'), so an agent knows this cannot replace an actual submission.

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