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nexo_learning_delete

Remove a learning entry from the NEXO Brain memory system by specifying its ID number to manage stored knowledge.

Instructions

Delete a learning entry.

Args: id: Learning ID number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Delete' implies a destructive mutation, but doesn't disclose behavioral traits such as whether deletion is permanent, requires specific permissions, has side effects (e.g., cascading deletions), or provides confirmation. This is a significant gap for a mutation tool with zero annotation coverage.

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

Conciseness4/5

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

The description is appropriately sized and front-loaded with the main action. The two-sentence structure is efficient, though the 'Args:' section could be integrated more smoothly. There's minimal waste, but it lacks depth for a deletion operation.

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

Completeness3/5

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

Given the tool's complexity (a destructive mutation), lack of annotations, and presence of an output schema (which reduces need to describe return values), the description is minimally adequate. It covers the basic action and parameter but misses critical behavioral details like permanence or error handling, leaving gaps for safe agent use.

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 description adds meaning beyond the input schema by specifying that 'id' is a 'Learning ID number', which clarifies the parameter's purpose. With 0% schema description coverage and only one parameter, this adequately compensates, though it could provide more context (e.g., format or source of the ID).

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

Purpose3/5

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

The description states the verb ('Delete') and resource ('a learning entry'), which provides a basic purpose. However, it doesn't differentiate from sibling tools like 'nexo_learning_list' or 'nexo_learning_search', nor does it clarify what constitutes a 'learning entry' in this context. It's clear but lacks specificity compared to siblings.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing learning entry ID), exclusions, or relationships with other tools like 'nexo_learning_add' or 'nexo_learning_update'. The agent 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.

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