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store_memory

Store persistent memory with branch awareness, automatic type classification, and importance levels for later retrieval.

Instructions

Store a memory with branch awareness, type classification, and importance level

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key/topic
tagsNoTags for categorization
valueYesMemory content (JSON string for complex data)
git_branchNoGit branch for branch-aware storage (auto-detected if not provided)
importanceNoImportance level: critical, high, normal, low (default: normal)
session_idYesSession identifier
memory_typeNoType of memory: decision, preference, learning, task, question, note, progress, info (auto-detected if not provided)
Behavior2/5

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

With no annotations, the description must carry the full transparency burden. It implies a write operation but fails to disclose key behaviors like overwrite semantics, permission requirements, or side effects on existing memories.

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 a single sentence that front-loads the action and key features, with no filler or redundancy. While concise, it sacrifices detail about parameters and behavior.

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

Completeness2/5

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

The tool has 7 parameters, 3 required, and no output schema, making context important. The minimal description does not explain return values, error conditions, or relationships with other memory tools, leaving significant gaps for an agent.

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

Parameters3/5

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

Schema description coverage is 100%, so each parameter is already documented. The description's reference to branch awareness, type classification, and importance level aligns with the schema's git_branch, memory_type, and importance parameters but adds little beyond what the schema already provides.

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

Purpose4/5

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

The description clearly states the action 'Store' on 'a memory' and highlights three notable features (branch awareness, type classification, importance level). However, it does not distinguish this tool from similar siblings like store_session_context or store_interaction, so it misses the full 5.

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?

The description provides no guidance on when to use this tool versus its many memory-related siblings. It neither mentions specific use cases nor excludes alternatives, leaving the agent to infer applicability.

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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