analyze

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only states the high-level action but does not disclose side effects (e.g., whether it modifies memory, requires memory to exist beforehand, or has performance implications). For a tool that 'extracts insights,' users should know if it is read-only, what data is accessed, or if any thresholds apply.

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 very concise at six words, with no unnecessary verbiage. It is front-loaded with the action ('Analyze') and the domain ('memory patterns and insights'). However, the extreme brevity sacrifices clarity on behavioral and contextual details, which might have balanced conciseness with completeness.

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 tool's moderate complexity (one optional parameter, no output schema, no annotations), the description should compensate by explaining what the output looks like, how insights are presented, or prerequisites for analysis. For instance, does it return a list of patterns, a narrative, or structured data? The lack of output schema increases the need for descriptive completeness, which is not met.

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 one parameter ('timeRange') fully documented via an enum. The description adds no additional meaning beyond the schema, as it does not explain how the parameter influences analysis or what 'extract insights' means for different time ranges. With full schema coverage, the baseline score is 3, but the description could add value by clarifying the parameter's impact.

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 uses a specific verb-resource pair ('Analyze memory patterns and extract insights') that clearly states the tool's function. It distinguishes from siblings like 'memory_stats' (which likely gathers statistics) and 'consolidate' (which likely compacts or reorganizes memory). However, it could be more specific about what kind of patterns or insights are extracted, such as trends, anomalies, or summaries.

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 does not provide explicit guidance on when to use this tool versus alternatives. While the sibling list shows multiple memory-related tools ('memory_stats', 'consolidate', 'recall', 'forget'), the description gives no context for choosing 'analyze' over them. The lack of guidance is mitigated by the tool's focused purpose, but users must infer usage from the name alone.

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