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Get Memory

recall_get
Read-onlyIdempotent

Fetch a stored memory by its unique name, returning the full body in markdown or JSON format for easy access to persistent information.

Instructions

Fetch a single memory by name, including its full body.

Args:

  • name: the kebab-case slug of the memory

  • response_format: 'markdown' (default) or 'json'

Returns the memory, or a not-found message if no memory has that name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesStable kebab-case slug identifying the memory (also its filename)
response_formatNo'markdown' for human-readable, 'json' for structured datamarkdown
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, ensuring the agent knows it's a safe, non-destructive operation. The description adds that it returns the memory or a not-found message, complementing the annotations without contradiction.

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 concise and front-loaded. Two clear sentences followed by an argument list with no redundant information. Every sentence adds value.

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

Completeness5/5

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

For a simple read tool with no output schema, the description fully explains what it returns (memory or not-found), covers both parameters, and annotations provide behavioral safety. No gaps.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds useful context: 'kebab-case slug' for name and explains response_format options ('markdown' default or 'json'), enhancing 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?

Description clearly states 'Fetch a single memory by name, including its full body.' It specifies the verb (fetch) and resource (memory by name), and the context of arguments and return distinguishes it from sibling tools like recall_list and recall_search.

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 implies usage for fetching a specific memory by name. While it does not explicitly state when not to use or name alternatives, the sibling tools (delete, links, list, search, write) cover other operations, making the purpose sufficiently clear.

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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