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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, covering the safety profile. The description adds useful caveats: strategy sources should not be published automatically, and no run or official ledger write occurs. It does not describe pagination or access/auth requirements for private runs.

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 compact sentences, front-loaded with the core purpose followed by caveats. Minor terse fragments ('No run or official ledger write') but no wasted sentences.

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?

Output schema exists, so return values needn't be explained. The description covers the main caveats but leaves the single param's semantics under-specified given 0% schema coverage, and lacks usage routing among the many sibling 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?

Schema description coverage is 0% for the single run_token parameter, so the description carries some burden. It implies run_token identifies a specific private training run, but adds no format or source detail beyond the pattern already in the 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?

States a clear verb+resource: reading reproducible request/result hashes for a private training run. This distinguishes it from siblings like bamboo_training_run (executes) and bamboo_training_explain (explains), though it doesn't name those siblings explicitly.

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?

The description implies usage context (verifying a training run's reproducibility via hashes, downloading the trace via POST export) but provides no explicit when-to-use or when-not-to-use guidance relative to artifact_verify or strategy_validate.

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