Context Link

Save Memory

save_memory

Destructive

Save content to the user's memory for later retrieval. Use this when the user wants to save information, notes, or conversation content.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "content": "<content>"
    },
    "name": "save_memory"
  }
}

Input Schema

Name	Required	Description	Default
`content`	Yes	The content to save. Can be plain text, markdown, or structured content.
`namespace`	No	A name/label for this memory (use-dashes-for-spaces). If omitted, a timestamped name is generated.

Output Schema

Name	Required	Description	Default
`message`	Yes
`namespace`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 12, 2026

TDQS

A3.6/5.0

Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the safety profile is covered structurally. The description adds no behavioral detail beyond them — notably it does not warn that reusing a namespace may overwrite an existing memory, which is the key consequence an agent should know. Adds little beyond annotations.

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?

Two tight sentences, purpose and usage front-loaded, nothing redundant. Slightly padded by restating 'content' as 'information, notes, or conversation content,' but overall efficient.

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?

An output schema and full annotation set mean the description needn't explain returns or safety. Purpose and trigger are covered; the only meaningful omission is the destructive/overwrite-on-namespace behavior, which the annotations partially signal.

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 both 'content' and 'namespace' semantics (including the auto-generated timestamped name fallback and dash formatting) are already documented in the schema. The description adds no parameter meaning beyond that, so baseline 3 applies.

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?

States a specific verb ('Save') and resource ('the user's memory') with the outcome ('for later retrieval'), so it is distinguishable from siblings like get_memory. It does not explicitly name or contrast with any sibling, so it stops short of a 5.

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?

Gives clear triggering context: 'Use this when the user wants to save information, notes, or conversation content.' It supplies when-to-use but no when-not or alternative routing (e.g., vs. get_memory or ask_question).

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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