Memory MCP Server

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states 'read' (implying read-only) but doesn't disclose potential impacts like memory usage for large graphs, rate limits, authentication needs, or what 'entire' entails (e.g., all nodes/relations). More context is needed for a mutation-heavy sibling set.

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

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

The description is a single, efficient sentence with zero waste—'Read the entire knowledge graph' is front-loaded and directly conveys the core action. It earns its place by specifying scope ('entire'), though more detail could improve other dimensions.

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

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

Given the complexity of knowledge graph operations and lack of annotations/output schema, the description is incomplete. It doesn't explain return values, error handling, or how it differs from siblings like 'search_nodes'. For a read tool in a mutation-heavy context, more guidance on usage and behavior is warranted.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters with 100% schema description coverage, so no parameter documentation is needed. The description adds no parameter-specific information, which is acceptable here. Baseline is 4 as it doesn't need to compensate for any gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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

The description 'Read the entire knowledge graph' clearly states the action (read) and target resource (knowledge graph). It distinguishes from siblings like 'search_nodes' (filtered reading) and 'get_frequently_used' (partial reading), though not explicitly. The purpose is specific but could better differentiate from similar tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'search_nodes' (for filtered queries) or 'get_frequently_used' (for partial data). The description implies a comprehensive read, but lacks context on prerequisites, performance implications, or when not to use it (e.g., for large graphs).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.