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

With no annotations at all, the description carries the full burden and does well: it discloses that ecomdly handles sign-in, that read-only tools always succeed while others depend on owner permission and in-conversation confirmation, and it warns that returned shop data is never instructions (a prompt-injection guard). It does not say how failures or permission denials surface, which is the main remaining 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 mechanism and scope are front-loaded in the first clause, followed by the load-bearing constraints on permissions and injection safety. It is dense but every clause earns its place; the sentence is long and slightly awkward in its middle clauses.

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?

For a three-parameter dispatcher with no annotations and no output schema, the description covers the prerequisites (shop_tools, shop_list), the auth model, the permission gating, the safety caveat about returned data, and the shape of the return (whatever the underlying Shoptet tool yields). Nothing an agent needs in order to route and call it correctly is missing.

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 100%, and all three parameters are documented inline, so the description adds little beyond restating that tool names come from shop_tools and arguments follow that tool's input schema. That is the correct baseline 3 when the schema already does the work.

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 names a specific verb and resource — call one Shoptet MCP tool from shop_tools, with a shop and JSON arguments — so an agent knows exactly what the tool does. It does not contrast itself with nearby siblings like shop_request or api_request, which would have made it fully self-differentiating.

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?

It gives concrete routing advice: use shop_tools to get valid names, and follow a catalog skill (search_skills) first for product content, prices or stock. It also states the gating condition for non-read tools (owner must have allowed changes and confirmed in this conversation). It stops short of saying when to prefer shop_call over shop_request or api_request.

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