Remember and recall successful agent facts/workflows

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

Annotations already cover readOnly/idempotent/destructive/openWorld, but the description adds real behavioral context: memory is scoped by game/place/executor, persisted only to the local playbook store (not the game), 'do not store secrets or tokens', and failure recovery via tool-schema. It does not describe the recall return shape or any capacity/retention behavior.

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?

Purpose and usage are front-loaded, which is good, but the long 'Signature: { operation: ... }' block is pure duplication of the 100%-covered schema, and the Phase/cost/idempotency/Safety tail repeats annotation data. Roughly a third of the text does not earn its place.

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?

For an 8-param tool with nested facts and no output schema, the description covers operations, scoping, storage location, and safety caveats, and points to tool-schema on failure. The main gap is that recall's structured-result format is never described, which an agent needs to consume the output.

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%, so the baseline is 3. The description adds a little meaning beyond the schema (scope = game/place/executor label; learn-session summarizes the session's successful tool sequence), but the inline signature largely restates what the schema already documents field-by-field.

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?

Front-loads 'PERSISTENT AGENT MEMORY' and names the concrete verbs (store/recall/forget) plus the resource (compact facts and successful workflow notes). It also distinguishes itself from the playbook siblings by stating memory lives in 'the existing local playbook store, never in the Roblox game', so an agent can tell what this tool owns.

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?

Gives explicit triggers: 'use remember after a verified discovery or successful workflow; use recall before planning a similar task', and explains what learn-session is for. However, it never says when NOT to use it (e.g. vs playbook-save or session-* siblings) and leaves 'forget' without a usage condition.

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