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 full burden. It mentions 'stable compact fields' which hints at output behavior, but doesn't disclose critical traits like whether this is a read-only operation, potential performance impacts, rate limits, or authentication needs. For a graph data tool with 5 parameters, this is insufficient behavioral context.

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 gets straight to the point. There's no wasted verbiage or redundancy. However, it could be more front-loaded with clearer purpose before mentioning implementation details like 'stable compact fields'.

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 has an output schema (which handles return values) but no annotations and 0% schema description coverage, the description is minimally adequate. It identifies the tool as returning graph data but lacks sufficient context about when and how to use it effectively, especially compared to sibling tools. For a 5-parameter tool with graph operations, more guidance would be helpful.

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 mentions 'dependency-oriented' which relates to 'relationship_types', and 'compact' which maps to the 'compact' parameter, but doesn't explain the meaning of 'root_entity_id', 'max_depth', or 'limit'. With 5 parameters and no schema descriptions, this leaves significant gaps in understanding parameter purposes.

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 states the tool returns 'dependency-oriented graph data' which indicates its purpose, but it's vague about what specific resource or entity this applies to. It doesn't clearly distinguish from sibling tools like 'get_entity_graph' or 'query_view' which might also return graph data. The phrase 'stable compact fields' adds some specificity but remains abstract.

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 guidance is provided on when to use this tool versus alternatives like 'get_entity_graph' or 'query_view'. The description doesn't mention prerequisites, context, or exclusions. It's left to the agent to infer usage based on the tool name and parameters alone.

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