atlas_error_predictor

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

With no annotations, the description carries the burden of explaining behavior. It does disclose the types of analysis performed (null refs, type mismatches, race conditions) and the 'before execution' timing, which is useful. However, it omits what the output looks like, how results are returned, or any caveats about accuracy or limitations, leaving some behavioral ambiguity.

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 two sentences, front-loaded with the main purpose ('Predicts potential runtime errors...'), and every sentence adds value. There is no fluff or repetition.

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?

The description covers the tool's core function and error categories, but lacks information about the output schema or return format. Since there is no output schema, the description could have explained what the prediction results look like (e.g., list of issues, severity levels). Given the complexity of a prediction tool, this is a notable gap.

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 100%, so all four parameters are described in the schema. The description adds no extra parameter details beyond what is already in the schema; it merely restates examples of checkFor values ('null refs', 'type mismatches', 'race conditions'). This meets the baseline but does not exceed it.

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 a specific action ('Predicts potential runtime errors, edge cases, and failure scenarios') with a defined resource ('code execution'). It lists concrete error types ('null refs, type mismatches, race conditions'), which distinguishes it from more general sibling tools like atlas_debug or atlas_review, though it does not explicitly name those alternatives.

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 phrase 'before code execution' gives implied usage timing, but there is no explicit guidance on when to choose this tool over siblings or when not to use it. Alternatives like atlas_debug or atlas_bug_oracle are not mentioned, leaving the agent to infer based on the name and description.

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