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get_memory

Read-only

Retrieve the full content of a memory using its numeric ID, obtained from prior search or recall operations.

Instructions

Fetch full content of a single memory by numeric ID.

Use only when you already know the ID — e.g. after retrieve_memory() or recall_memory() which return IDs in their results alongside compact snippets. Do NOT use for search — use retrieve_memory() for semantic/text search or recall_memory() for time-based queries like 'last week'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tagsYes
contentYes
metadataNo
workspaceNo
created_atYes
memory_typeYesfact: established fact about user, project, or system. preference: user's likes, dislikes, habits. instruction: persistent rule Claude must follow. feedback: evaluation of Claude's output. decision: a choice made with reasoning ('chose X over Y because Z').
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that the tool fetches 'full content', reinforcing the read-only nature without contradicting annotations. It provides enough context given the annotations.

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?

The description is three sentences, front-loaded with the core purpose, and each sentence serves a distinct role (purpose, usage conditions, exclusions). No wasted words.

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?

The description covers tool purpose, usage conditions, and exclusions. With output schema present, return values don't need description. However, the lack of parameter clarification is a gap, making it slightly incomplete for a tool with 0% schema description coverage.

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%, yet the description does not explain the parameters. It says 'by numeric ID' but the schema parameter is named 'name', which could confuse an agent. The description should explicitly map 'name' to the numeric ID. This is a missed opportunity to clarify parameter usage.

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 tool fetches the full content of a single memory by numeric ID, using specific verb and resource. It distinguishes from sibling tools like retrieve_memory (semantic search) and recall_memory (time-based queries).

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

Usage Guidelines5/5

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

The description explicitly states when to use (only when ID is known, e.g., after retrieve_memory or recall_memory) and when not to use (do not use for search), naming specific alternative tools. This provides clear guidance for the agent.

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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