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memory_graph_query

Query the epistemic graph by tag or node type to retrieve relevant memory nodes from user or agent layers.

Instructions

Query the epistemic graph by tag or node type.

Args: layer: "user" or "agent" user_id: User identifier tag: Filter by tag node_type: Filter by type limit: Max results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNo
layerNouser
limitNo
user_idNodefault
node_typeNo
Behavior2/5

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

No annotations exist, so the description must fully disclose behavior. It states 'Query,' implying read-only, but lacks details on side effects, rate limits, or authorization needs. Minimal transparency beyond the operation type.

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 very concise: a single sentence plus a compact arg docstring. Every element is necessary, and no redundancy is present.

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 five optional parameters and no output schema, the description fails to explain return values or behavior. It does not provide enough context for an agent to understand what the tool produces or how to interpret results.

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 description includes a docstring listing parameters and their types (e.g., 'layer: user or agent'), which adds some meaning beyond the schema's property names. However, explanations are shallow, and default values are not interpreted.

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 queries the epistemic graph, with filtering by tag or node type. However, it does not explicitly distinguish it from sibling tools like memory_graph_nodes or memory_graph_edges, though the verb 'query' implies general retrieval.

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?

No guidance is provided on when to use this tool versus alternatives. The description only lists parameters but does not state prerequisites, exclusions, or when not to use it.

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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