Fuzzy 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. It states 'Create multiple new entities', implying a write operation, but doesn't cover critical aspects like permissions required, whether creation is idempotent, error handling for duplicates, or rate limits. For a mutation tool with zero annotation coverage, this is a significant gap in transparency, leaving the agent to infer behavior from the name alone.

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 key action and resource without unnecessary words. It avoids redundancy and gets straight to the point, making it easy to parse quickly. Every word earns its place, and there's no wasted verbiage, which is ideal for conciseness in tool descriptions.

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 a batch creation tool with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't address return values, error conditions, or behavioral nuances like whether observations are validated. For a mutation operation in a knowledge graph context, more detail is needed to guide the agent effectively, making this inadequate for the tool's requirements.

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?

Schema description coverage is 0%, meaning the schema provides no descriptions for parameters. The description mentions 'multiple new entities' but doesn't explain what 'entities' entail beyond the schema's structure (name, entityType, observations). It fails to add meaning, such as examples of entity types, format constraints for observations, or how batch processing works. With low coverage, the description doesn't compensate adequately, leaving parameters poorly documented.

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 the resource ('multiple new entities in the knowledge graph'), making the purpose immediately understandable. It distinguishes from siblings like 'delete_entities' or 'create_relations' by focusing on entity creation rather than deletion or relation management. However, it doesn't specify what constitutes an 'entity' beyond the schema, leaving some ambiguity compared to more detailed descriptions.

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 like 'add_observations' or 'create_relations'. It doesn't mention prerequisites, such as whether entities must be unique or if there are limits on batch size, nor does it clarify when not to use it (e.g., for single entities or updates). This lack of context makes it harder for an agent to choose appropriately among siblings.

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