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alfianyusufabdullah

jalipata-mcp-memory

Read Graph

read_graph
Read-onlyIdempotent

Retrieve the complete knowledge graph for a namespace, viewing all stored entities and relations across sessions.

Instructions

Read the entire knowledge graph for a namespace, including all entities and relations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceNoMemory scope/tenant. Use the same namespace to keep related memories together (e.g. "user:alice" or "user:alice:project:frontend"). Defaults to "default".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
entitiesYes
namespaceYes
relationsYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it reads the 'entire' graph including all entities and relations, which is useful scope context. However, it does not disclose pagination, size limits, or behavior for missing namespaces, though these are partially mitigated by the output schema.

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 a single sentence, front-loaded with the verb 'Read', and contains no filler or redundant information. Every word contributes to understanding the tool's scope.

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

Completeness5/5

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

For a simple read operation with one parameter, full schema coverage, an output schema, and comprehensive safety annotations, the description plus structured fields provide all necessary context. There are no missing prerequisites or side effects to explain.

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 provides 100% coverage for the single 'namespace' parameter with a detailed description including examples and default value. The tool description adds no additional parameter semantics, 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Read' and clearly identifies the resource as 'the entire knowledge graph for a namespace, including all entities and relations.' This distinguishes it from sibling tools like search_nodes (filtered search) and create_entities (write operation), making its purpose unambiguous.

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 clearly implies when to use this tool: when you need the complete knowledge graph for a namespace, not just a subset. However, it does not explicitly mention alternatives or when not to use it, stopping short of a 5.

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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