callout-dev

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes what the tool does (analyzes behavior patterns) and what it doesn't do (review code quality), but lacks details about how the analysis works, what the output format is, whether it requires specific permissions, or if there are any rate limits. The description adds some context but doesn't fully compensate for the lack of annotations.

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 efficiently structured in two sentences. The first sentence clearly states the purpose, and the second sentence provides crucial usage guidance by distinguishing it from a sibling tool. Every sentence adds value with no wasted words, making it appropriately concise and front-loaded.

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 behavioral analysis and the lack of both annotations and an output schema, the description is somewhat incomplete. It explains the purpose and usage guidelines well but doesn't describe what the analysis output looks like, how comprehensive it is, or any behavioral constraints. For a tool with no structured output information, more context about results would be helpful.

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 has 1 parameter with 100% description coverage, so the schema already documents the parameter. The description doesn't add any parameter-specific information beyond what's in the schema. With 0 parameters, the baseline would be 4, but here we have 1 parameter fully covered by the schema, so a score of 4 is appropriate as the description doesn't need to compensate for schema gaps.

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 the tool's purpose: 'Analyzes your project setup, development habits, and knowledge blind spots to reveal what you don't know you're doing wrong when working with AI coding tools.' It specifies the verb (analyzes) and resource (project setup, habits, blind spots), and explicitly distinguishes it from the sibling 'review' tool by stating 'Does NOT review code quality (use review for that) — instead reviews YOUR behavior patterns.'

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 provides explicit guidance on when to use this tool versus alternatives: 'Does NOT review code quality (use review for that) — instead reviews YOUR behavior patterns.' It clearly states what this tool is for (analyzing behavior patterns with AI coding tools) and what it is not for (code quality review), directing users to the 'review' sibling tool for the latter.

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