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arcana_add_memory

Store a memory entry with semantic embedding for persistent project knowledge. Provide a role and content to add searchable memory to the vector database.

Instructions

Store a memory entry as a resource with embedding.

Args:
    role: Memory role (e.g. 'user', 'assistant', 'system').
    content: The memory content to store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleYes
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided. Description does not disclose behavioral traits such as whether embedding is performed, if memory is indexed, or any side effects like overwriting. Only states action without deeper context.

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?

Description is short with clear purpose stated first. 'Args' section is present and readable. No redundant information. Could be slightly more structured but effective.

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?

Tool has only 2 parameters and output schema exists (not shown). Description lacks details on return values, embedding process, and persistence. Complete for basic use but misses context that could aid correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so description must fully explain parameters. It provides basic explanation for 'role' (with examples) and 'content', but lacks details like format, max length, or constraints. Insufficient compensation for missing schema descriptions.

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?

Description clearly states verb 'store' and resource 'memory entry as a resource with embedding'. It distinguishes from sibling tool 'arcana_add_resource' which likely handles different resources.

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 explicit guidance on when to use this tool versus siblings like arcana_add_resource. No when-not-to-use or alternative suggestions provided.

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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