Memory MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal insight. It indicates a write operation ('create') but doesn't specify permissions required, whether creation is idempotent, potential side effects on the graph, or error handling. This is inadequate for a mutation tool with zero annotation coverage.

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 that front-loads the core action and resource without unnecessary words. It earns its place by conveying the essential purpose, though it could be more informative. There is no wasted verbiage or structural issues.

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 creating multiple entities in a knowledge graph, with no annotations, no output schema, and low parameter coverage, the description is insufficient. It doesn't address return values, error cases, or interaction with sibling tools, leaving significant gaps for the agent to infer behavior in a critical mutation context.

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 description mentions 'multiple new entities' but adds no semantic details beyond what the input schema implies. With 0% schema description coverage, the schema lacks descriptions for the 'entities' parameter itself, and the description fails to compensate by explaining what constitutes valid entities, constraints, or examples. This leaves parameters largely undocumented.

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 clearly states the action ('create') and resource ('multiple new entities in the knowledge graph'), making the purpose immediately understandable. It distinguishes from siblings like 'update_entity' (modification) and 'delete_entities' (removal), though it doesn't explicitly differentiate from 'add_observations' which might overlap in function.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as whether entities must be unique or if there are constraints on entity types, nor does it compare to siblings like 'add_observations' or 'create_relations' for related operations. This leaves the agent without context for tool selection.

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