atlas_code_whisperer

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

The description discloses the tool's behavior as a learning, prediction engine that analyzes codebase patterns and generates style-matched code. It does not mention side effects, permissions, output format, or limitations, and with no annotations provided, the description only partially carries the transparency burden. The reader cannot infer if it mutates files or requires external services, but the core behavior is reasonably clear.

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 a long, bullet-pointed list of marketing claims, many of which are redundant (e.g., 'context-aware', 'multi-file aware', 'understands your project's DNA'). It is not concise and could be condensed into a few key sentences without losing meaning.

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 complex tool with 9 parameters, 5 modes, and nested objects, the description is incomplete. It provides no guidance on how to use the modes, what the response format is (no output schema), or how to structure a valid request. The high-level feature list does not help an agent invoke the tool correctly.

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 input schema already provides detailed descriptions for most parameters (89% coverage), so the description's lack of parameter-specific guidance is acceptable. The description's mention of 'natural language to code translation' hints at the intent parameter, but it adds little meaning beyond what the schema already provides.

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 identifies the tool as an intelligent code completion and prediction engine, with specific capabilities like predicting entire code blocks and multi-file aware completions. It states a clear purpose ('Use for intelligent code generation...') and the feature list distinguishes it from basic autocomplete. However, it does not explicitly differentiate from sibling tools, so it earns a 4 rather than a 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 includes a direct usage directive ('Use for intelligent code generation that understands your project's DNA') and lists several contexts such as context-aware and intent prediction. However, it does not explain when not to use the tool or how to choose among the five schema modes (complete, generate, transform, explain, fix), so it lacks the explicit exclusions or alternatives needed for a 5.

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