SQLite Project Memory MCP

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 mentions 'fetch' but doesn't specify whether this is a read-only operation, what permissions might be required, how it handles errors, or if there are rate limits. The description is too vague to fully inform the agent about behavioral traits beyond the basic action.

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 directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse quickly, 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 tool has an output schema (which likely defines return values), the description doesn't need to explain outputs. However, with no annotations, 1 parameter at 0% coverage, and moderate complexity (fetching entities), the description is minimal—it covers the basic purpose but lacks depth on usage, behavior, or parameter details, making it adequate but incomplete for full agent understanding.

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 input schema has 1 parameter with 0% description coverage, so the schema provides no semantic details. The description adds minimal context by implying 'snapshot_id' identifies a 'named snapshot', but it doesn't explain what a snapshot is, how to obtain its ID, or the format expected. This partial compensation aligns with the baseline for low schema coverage.

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 ('fetch') and the target resource ('a named snapshot and its captured entities'), which is specific and informative. However, it doesn't explicitly differentiate this tool from similar siblings like 'get_entity' or 'get_entity_graph', which might also retrieve entity-related data, leaving room for ambiguity in sibling context.

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, such as 'get_entity' for individual entities or 'list_entities' for broader listings. It lacks context on prerequisites, exclusions, or typical scenarios, offering minimal usage direction beyond the basic purpose.

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