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memory.recall

Retrieve encrypted memories by exact ID or fuzzy tag matching. Decrypt returned blobs client-side to maintain privacy.

Instructions

Retrieve specific memories. Either by ID (exact recall) or by tags (fuzzy recall). Returns the encrypted blobs — you decrypt them client-side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_identifierYesYour agent identifier.
memory_idNoSpecific memory ID to retrieve. Use this for exact recall.
tagsNoTags to match. Returns memories with any matching tag.
limitNoMax memories to return. Default: 20, max: 200.
offsetNoSkip first N results for pagination. Default: 0.
Behavior4/5

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

With no annotations, the description carries full burden. It explicitly states that returns are encrypted blobs requiring client-side decryption, which is critical behavioral information. However, it does not mention idempotency or error behavior.

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, front-loaded with key information. No redundant or filler content. Every sentence adds value.

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

Completeness3/5

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

The tool has no output schema and no annotations, so description must be comprehensive. It covers purpose, retrieval modes, and encryption. However, it does not explain how this tool relates to sibling tools like memory.search, leaving a gap in contextual completeness.

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?

Input schema covers 100% of parameters with descriptions. The description adds context about the two retrieval modes (ID vs tags) and the encryption aspect, but schema already describes parameter constraints well. Baseline 3 is appropriate.

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 verb 'retrieve' and the resource 'memories', with two modes (by ID or tags). However, it does not differentiate from the sibling tool 'memory.search', leaving ambiguity about when to use which.

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 explicit guidance on when to use this tool versus alternatives like memory.search or memory.export. It only states the two retrieval modes without clarifying the context or exclusions.

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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