SQLite Project Memory MCP

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

No annotations are provided, so the description carries the full burden. It mentions 'likely duplicate or related entities' but doesn't disclose behavioral traits such as how similarity is determined, whether it's a read-only operation, performance characteristics, or error handling. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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 purpose. There's no wasted language, and it directly communicates the tool's intent without unnecessary elaboration.

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 tool's moderate complexity (3 parameters, 1 required) and the presence of an output schema, the description is minimally adequate. It states the purpose and usage context but lacks details on parameters and behavioral traits. The output schema mitigates some completeness issues, but the description should do more to compensate for the 0% schema coverage.

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%, so the description must compensate. It doesn't add any meaning beyond what the input schema provides—no explanation of what 'name', 'entity_type', or 'limit' represent semantically. The description fails to clarify parameter roles, leaving them 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 tool's purpose: 'Find likely duplicate or related entities before creating a new one.' It specifies the verb ('Find'), resource ('entities'), and context ('before creating a new one'). However, it doesn't explicitly differentiate from siblings like 'search_content' or 'resolve_entity_by_name', which might have overlapping functionality.

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 clear context for usage: 'before creating a new one.' This implies it should be used as a pre-creation check to avoid duplicates. It doesn't explicitly state when not to use it or name alternatives, but the context is sufficiently clear for an agent to infer appropriate usage.

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