codeCompletion

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

No annotations are provided, and the description does not disclose any behavioral traits such as authentication requirements, response format, or limitations. For a tool that likely requires code context, this is insufficient.

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 extremely concise at one short sentence. While brevity is positive, the lack of necessary detail makes it less effective. It sacrifices completeness for conciseness.

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 complexity of 4 required parameters and no output schema or annotations, the description is severely incomplete. It does not explain the nature of suggestions, any dependencies, or how inputs are used, leaving significant gaps for an AI agent.

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%, but the parameter names (sourceUrl, source, line, column) are somewhat self-explanatory. However, the description adds no additional meaning or context beyond the names, such as expected formats or constraints.

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 'Get code completion suggestions' clearly states the tool's action (get) and resource (code completion suggestions). It is specific enough to indicate the general purpose, but it does not differentiate from sibling tools like codeCompletionElement and codeCompletionFull, which likely have similar but more specific outputs.

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. With many sibling tools offering different levels of completions, this omission makes it difficult for an AI agent to choose appropriately.

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