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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so safety is covered. The description adds real value beyond that: newest-first ordering and an enumeration of the event kinds recorded (adds, forgets, summaries, imports), which is behavior the annotations cannot convey.

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 sentences, zero filler. The core identity of the tool (lifecycle log, newest first) is front-loaded and the use case follows immediately.

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?

An output schema exists, so return-format detail is unnecessary, and all 7 optional filters are schema-documented. The description covers ordering and intent, leaving only marginal gaps such as whether omitted filters mean 'all events' or the scope of 'this user's memory' in a multi-workspace context.

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% with every one of the 7 filters individually documented, so the baseline of 3 applies. The description's enumeration of event types marginally informs the event_type filter, but it adds no syntax, format, or default details beyond what the schema already provides.

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 — reading the memory lifecycle log — and enumerates its content (adds, forgets, summaries, imports) with ordering (newest first). This clearly distinguishes it from siblings like get_memory or search_memory, but it never names an alternative explicitly, so sibling differentiation is implicit rather than stated.

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?

'Use it to explain why a memory is present or missing' gives a concrete, actionable use case rather than mere restatement. However, there are no when-not conditions and no named alternative (e.g., get_memory for a single record's current state vs. this log), so guidance is clear but incomplete.

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