AI_SYNC MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states this is an 'Add' operation, implying a write/mutation, but doesn't cover critical aspects like required permissions, whether the operation is idempotent, error handling, or what the output contains. For a mutation tool with zero annotation coverage, this is a significant gap.

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 appropriately sized and front-loaded, starting with the core purpose. The parameter list is structured with bullet points, making it easy to scan. However, the 'Args:' section could be more integrated, and some sentences like 'Preprocessed text for search indexing' are a bit technical without context, slightly reducing efficiency.

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 that there's an output schema (which reduces the need to describe return values), no annotations, and 4 parameters with 0% schema coverage, the description is moderately complete. It covers the purpose and parameters but lacks behavioral details and usage guidelines. For a mutation tool, this is adequate but has clear gaps, making it a minimum viable description.

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 lists all 4 parameters with brief explanations, adding meaning beyond the input schema, which has 0% description coverage. However, the explanations are minimal (e.g., 'Full name of the store') and don't provide detailed semantics like format constraints or examples beyond 'merchantID: The merchant to which the store belongs (e.g., "tnc").' This partially compensates for the schema gap but isn't comprehensive.

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: 'Add a new store to the merchant's database.' It specifies the verb ('Add') and resource ('store'), making the action explicit. However, it doesn't differentiate from sibling tools like 'findAllStores' or 'findStore', which are read operations, so it's not a perfect 5.

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 needing a valid merchantID, or contrast it with sibling tools like 'findAllStores' for retrieval. Usage is implied by the purpose but lacks explicit context or exclusions.

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