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nexo_smart_startup

Loads up to 10 relevant cognitive memories based on pending followups, reminders, and last session topics to set the correct context after startup.

Instructions

Pre-load relevant cognitive memories based on pending followups, due reminders, and last session topics.

Call during startup (after nexo_startup) to ensure the session starts with the right context loaded. Returns up to 10 memories matching the current operational state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description discloses that it pre-loads memories and returns up to 10, but it does not detail potential side effects (e.g., whether it modifies state) or performance impact. Without annotations, the burden is higher, and more detail would be beneficial.

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 concise (three sentences), front-loaded with the core purpose, and contains no fluff. Every sentence adds value.

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 no output schema and no annotations, the description covers the essential aspects: purpose, timing, and result limit. It is complete enough for a simple parameterless tool, though a note on idempotency could add completeness.

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

Parameters4/5

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

The input schema has no parameters, so the description correctly provides no parameter information. With 100% coverage from the schema, this is adequate; no additional parameter semantics are needed.

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 clearly states the tool's function: pre-loading cognitive memories based on specific criteria (pending followups, due reminders, last session topics). It distinguishes itself from the sibling tool nexo_startup by specifying it should be called after that, thus avoiding confusion.

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

Usage Guidelines4/5

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

The description explicitly says to call during startup after nexo_startup, providing clear timing. However, it does not mention when not to use this tool or suggest alternatives, which prevents a perfect score.

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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