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

Annotations already declare readOnly=false, destructive=false, idempotent=false, openWorld=true, so the mutation/safety profile is covered. The description adds genuine context the annotations lack: the record becomes 'private' and enters a review workflow rather than publishing, each source requires separate consent, and nothing feeds training automatically. It does not explain what happens on a version conflict or what the review outcome is, so the addition is useful but partial.

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?

Two short sentences, both front-loaded and free of filler; the core action leads. It is arguably undersized for a 12-required-parameter governance tool, but there is no wasted text.

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?

With 13 parameters at 8% coverage, no output schema, and a versioned submit-for-review workflow, the description leaves major questions unanswered: the create-vs-edit versioning contract, required consent artifacts per source, and the meaning of terms_version/authorized_rightsholder. The schema's expected_version note carries part of the load, but the description itself is too thin for this complexity.

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 only 8%: of 13 parameters, only expected_version is documented, and the description itself names no parameter at all. The phrase 'each source needs separate consent' gestures at source_ids and training_allowed/memory_allowed, but the model still has to guess at the semantics of key, lesson, outcome, revision, client_id, terms_version, and authorized_rightsholder. For a tool this parameter-heavy, the description does not compensate for the coverage gap.

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 states a specific verb and resource ('Submit a private versioned learning record for review') plus a scope qualifier ('private', 'versioned', 'for review') that separates it from read_learning/my_learning/read_learning_policy. It does not explicitly distinguish itself from near-siblings like save_shared_memory or submit_participation_draft, so it stops short of full sibling differentiation.

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?

'Each source needs separate consent; no automatic training' states a precondition and a policy constraint, which implies when this tool is usable. However, it never names an alternative (e.g., learning_consent, withdraw_learning) or says when NOT to call it, so guidance remains inferential.

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