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

Annotations only include readOnlyHint: false, providing minimal safety disclosure, so the description must carry the burden of behavioral transparency. It does disclose that 'remember' saves a key-value pair, 'forget' deletes by key, and the tool has no LLM cost, which are useful traits. However, it omits details such as whether recall is exact or semantic search, whether memories are scoped by agent_id, or what happens on overwrite, leaving gaps for an agent to discover at runtime.

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?

The description is two sentences: an opening purpose statement and a compact list of actions with brief parenthetical definitions. Every word earns its place, with no redundant phrasing. The 'No LLM cost' note is a succinct additional benefit.

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 should at least hint at return values or data shapes, but it does not mention what recall or list return (e.g., a single value, a list, metadata). The parameter schema is rich and the actions are clear, so basic usage is possible, but the lack of return info and behavioral constraints (like persistence scope) leaves the description incomplete for a tool with only a readOnlyHint false annotation.

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?

The input schema provides 100% coverage with descriptions for all six parameters, so the schema already conveys parameter semantics. The description adds minimal value beyond mapping actions to parameter names (key, query, value, category), which is implicit from the schema enums and descriptions. No further parameter explanation is necessary.

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 clearly states the tool's function: managing an agent's persistent memory, and enumerates four specific actions (remember, recall, forget, list) that map directly to the tool's capabilities. This distinguishes it from sibling tools, which focus on integrations and agent lifecycle, not memory. The 'No LLM cost' note adds a unique selling point.

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 provides implicit usage context by listing the actions available, making it clear when to use the tool (to store, search, delete, or enumerate memories for an agent). It does not explicitly name alternatives or exclusions, but no sibling tool offers similar memory management functionality, so the intended use case is clear. A slightly more explicit 'use when' statement would improve it.

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