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memdata_ingest

Ingest text content into persistent memory with a source name. Store notes, decisions, or context for semantic retrieval across conversations.

Instructions

Ingest text content into long-term memory for later retrieval. Use this to store important information, notes, decisions, or context that should be remembered across conversations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesText content to store in memory
nameYesSource name/identifier for this memory (e.g., "meeting-notes-2024-01-15", "project-decision", "user-preference")
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states the tool stores content into long-term memory but does not disclose any additional behavioral traits like limits, persistence guarantees, or side effects.

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?

Two sentences, no waste. Every part contributes to purpose and usage guidance.

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?

For a simple ingest tool with 2 params and no output schema, the description sufficiently covers the purpose and parameter usage. It omits return value details, but that is acceptable given no output schema.

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 coverage is 100%, so the baseline is 3. The description adds value by giving examples for the 'name' parameter but does not substantially enrich understanding beyond the schema.

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 verb 'Ingest' and the resource 'text content into long-term memory', distinguishing it from siblings like memdata_delete, memdata_list, etc.

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 'Use this to store important information, notes, decisions, or context that should be remembered across conversations,' providing clear context but no exclusions or alternatives.

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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