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memory_related

Retrieve memories by tags and type to explore a topic in depth, uncovering decisions, patterns, gotchas, and architecture from past sessions.

Instructions

Get all memories related to specific tags/areas. Use to explore a topic in depth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsYesTags to search for
typeNoMemory type: decision (why X over Y), pattern (conventions), gotcha (pitfalls), architecture (system structure), progress (what's done/in-flight), context (business context)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only says 'Get all memories related to specific tags/areas,' without clarifying ordering, result limits, matching semantics, or output shape. The vague 'related to' leaves significant behavioral uncertainty.

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 two short sentences with the action front-loaded. Every word earners its place; there is no filler or repetition.

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 is simple and the schema is rich with parameter descriptions. However, there is no output schema, no mention of result shape or behavior, and no differentiation from memory_search, so the description is adequate but leaves gaps.

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 coverage is 100%, and the enum descriptions fully explain the 'type' parameter. The description adds minimal meaning beyond the schema, so the baseline of 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 a specific action and resource: 'Get all memories related to specific tags/areas.' This distinguishes it from obvious write/delete siblings, but it does not explicitly contrast with similar lookup tools like memory_search or memory_recall, leaving some ambiguity.

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 says 'Use to explore a topic in depth,' giving a clear context for when this tool is appropriate. It does not mention exclusions or alternatives, but this is acceptable for a straightforward read tool among siblings.

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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