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retrieve_memory

Read-only

Search across memories using hybrid semantic and full-text queries. Filter by workspace and memory type to find relevant facts, preferences, instructions, feedback, or decisions.

Instructions

Hybrid semantic + full-text search. Returns names + metadata only.

Use get_memory(name=...) to fetch full content of a specific result. Pass workspace= to search only within a specific workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesQuery string
workspaceNo
memory_typeNo
similarity_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds that it returns 'names + metadata only' and specifies the search method, providing useful context beyond annotations. No contradictions.

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 extremely concise with two sentences that are front-loaded with the core purpose. Every sentence adds value without waste.

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 description covers the core purpose, alternative tool, and workspace filtering but omits details about memory_type, limit, and similarity_threshold parameters. Given the output schema exists, return values are not needed, but parameter guidance is incomplete.

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 low (20%). The description only hints at the workspace parameter and does not explain query, limit, similarity_threshold, or memory_type meanings. It fails to compensate for the schema's lack of detail.

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's function: 'Hybrid semantic + full-text search' and specifies what it returns ('names + metadata only'). This effectively distinguishes it from siblings like get_memory, which fetches full content.

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 advises to use get_memory for full content retrieval, providing clear guidance on when to use an alternative. It also mentions workspace filtering but lacks explicit when-not-to-use scenarios.

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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