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consolidate_reflexions_tool

Distills frequently recurring reflection themes into searchable semantic memory and removes stale working memory entries for autonomous agent self-improvement.

Instructions

Distil recurring reflexion themes into semantic memory and prune working memory.

Runs the nightly self-improvement consolidation: every theme an agent raised
>= min_count times in the last `days` becomes a searchable semantic-memory
node (deduped), and working_memory older than 7 days is pruned. Idempotent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
min_countNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It explicitly states idempotency and details the actions: creating semantic memory nodes with deduplication and pruning working memory older than 7 days, which sufficiently discloses behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, with a front-loaded summary sentence followed by a clarifying paragraph. Every sentence adds value, no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity and the presence of an output schema, the description covers the core behavior but does not explain prerequisites (e.g., existence of reflexions) or potential return values. The output schema likely covers return info, so it's reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by clearly explaining the parameters: '>= min_count times in the last `days`'. This adds semantic meaning beyond the schema's default values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs ('distil' and 'prune') and clearly identifies the resource ('recurring reflexion themes into semantic memory' and 'working memory'). It distinguishes itself from sibling tools like aggregate_reflexions_tool by specifying a nightly consolidation process.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for nightly self-improvement consolidation but does not explicitly state when to use this tool versus alternatives like aggregate_reflexions_tool or consolidate_session_memory. No exclusions or prerequisites are mentioned.

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

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