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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds real beyond-schema context: it is owner-gated and requires handle+secret, and it discloses the response shape {ok, bank, result} despite there being no output schema. It does not mention rate limits or latency.

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 dense sentences that front-load the core action before the usage hint, the auth requirement, and the return shape. Minor overhead from the bracketed '[learns]' tag, but otherwise every clause earns its place.

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 no output schema, the description compensates by stating the return shape, and it covers the auth prerequisite for this 6-parameter tool. Combined with 100% schema coverage, an agent has what it needs; only a brief note on the bank default vs shared_<name> collaboration at the description level would make it complete.

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 100%, so the baseline is 3 and the schema already documents bank, query, handle, secret, context, and max_tokens. The description reinforces the owner-gating (handle+secret) and the bank concept indirectly via the return shape, but adds no syntax or format detail the schema lacks.

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+resource: 'Reflect over your learning memory bank' and 'answers query with grounded synthesis.' The word 'synthesis' reasonably distinguishes it from raw-retrieval siblings like memory_recall or search_memory, but it never names an alternative to make the boundary explicit.

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?

Explicit when-to-use: "Use for 'what do I know about X' / decision support." That is clear context for invoking it. It stops short of stating when NOT to use it or naming the sibling (memory_recall, list_memory) that a simple factual lookup should route to instead.

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