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memory_loading

Load ADRs into the memory system to query, explore, and manage architectural decisions and related entities. Use intelligent search with filters on types, tags, relationships, and context to find relevant information and create snapshots.

Instructions

Advanced memory loading tool for the memory-centric architecture. Query, explore, and manage memory entities and relationships. Load ADRs into memory system and perform intelligent queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoMemory operation to performquery_entities
queryNoQuery parameters for entity search
entityIdNoEntity ID for get_entity and find_related actions
maxDepthNoMaximum depth for relationship traversal (find_related action)
forceReloadNoForce reload of ADRs (load_adrs action)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only offers a high-level summary without disclosing side effects, persistence behavior, error conditions, or response format. For a complex multi-action tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively concise at two sentences, but the first sentence is overly general and the structure does not front-load the most important information.

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

Completeness2/5

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

Given the tool's complexity (5 parameters, nested objects, multiple actions, no output schema or annotations), the description is too brief. It lacks details on return values, usage constraints, and behavioral guarantees, making it incomplete.

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?

The input schema has 100% description coverage, so the description adds minimal value beyond what is already in the schema. It mentions actions but does not explain parameter interactions or expected inputs for each action.

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 tool's core functions: query, explore, manage memory entities, and load ADRs. However, it uses vague terms like 'advanced' and 'intelligent queries' and does not differentiate from sibling tools such as 'expand_memory' or 'get_memory_stats'.

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?

There is no guidance on when to use this tool over alternatives. The description does not mention prerequisites, context, or when not to use it, leaving the agent to infer usage from the tool name alone.

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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