Baselinker Call

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

No annotations are provided, so the description carries the full behavioral burden. It transparently describes a generic passthrough that returns JSON and includes mutating examples like 'addOrder' and 'updateInventoryProductsStock,' which implies side effects. However, it does not explicitly warn about destructive methods, error behavior, authentication, or rate limits, leaving a meaningful 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?

Three short, front-loaded sentences with inline code formatting and concrete examples. No filler; every sentence contributes either the core action, parameter semantics, or discovery guidance.

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 generic API-call passthrough with only two parameters, the description covers the essential invocation contract: exact method name, argument object, JSON response, and discovery path via baselinker_list_methods. With an output schema present, return fields need not be spelled out; the main omission is safety and error context, not call mechanics.

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 coverage is 0%, and the description compensates strongly. It defines `method` as 'the exact API method name' with concrete examples, and `parameters` as 'that method's argument object.' It also points to baselinker_list_methods for discovering names and params, which is exactly the information the bare schema omits.

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?

States a specific verb and resource: 'Call any BaseLinker API method and return its JSON response.' This clearly distinguishes it from sibling baselinker_list_methods, which is for discovery, and the concrete examples reinforce the method-calling purpose.

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 explicitly says 'Use baselinker_list_methods first to discover names and params,' establishing a clear prerequisite and routing the agent to the sibling tool for discovery. It doesn't enumerate exclusions or when-not-to-use conditions, but the sequencing is clear enough for selection.

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