memory_insights

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

Despite no annotations, the description discloses a 120s cooldown rate limit and details the output structure, giving the agent a good sense of behavior. It lacks explicit statement of read-only nature, but the analysis context implies non-destructive use.

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 well-structured with a clear overview, argument list, and return details. It is front-loaded and each section adds value, though the return description is slightly verbose with a repeated 'Returns'.

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?

Given the 2-parameter schema and presence of output schema, the description adds value by explaining top-level keys and mentioning rate limits. It provides sufficient context for an agent to use the tool correctly.

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?

With 0% schema description coverage, the description compensates by explaining each parameter's meaning and providing examples ('7d', '1m', '1y') and the effect of include_llm_analysis.

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 'Analyze stored memories and produce actionable insights', specifying the verb and resource. It distinguishes from siblings like memory_create or memory_list by focusing on analysis and insight generation.

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 for high-level analysis but does not explicitly state when to use this tool over alternatives like memory_stats or memory_clusters. No when-not or alternative tool names are mentioned.

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