analyze_tech_stack

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

No annotations are provided, so the description must fully disclose behavior. It only says 'Get a comprehensive view of a technology's ecosystem' but does not explain what the output looks like, whether data is cached, how aggregation works, or any limitations. This is insufficient for a tool that aggregates data from multiple sources.

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 single sentence that efficiently conveys the tool's core purpose without wasted words. It is appropriately concise.

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 tool's complexity (aggregates from multiple platforms, no output schema, no annotations), the description lacks essential details about the return format, ranking method, or behavior for unknown technologies. It feels incomplete for an AI agent to correctly interpret the output.

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% with clear descriptions for both parameters (tech and use_cache). The description adds no additional meaning beyond what the schema already provides. Baseline score of 3 is appropriate.

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: 'Analyze technology stack popularity across multiple platforms (GitHub, npm, PyPI, Stack Overflow, VS Code, job postings).' It uses a specific verb ('analyze') and resource ('technology stack popularity') and distinguishes from sibling tools that focus on individual platforms.

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 implies when to use this tool (for a comprehensive ecosystem view) versus sibling tools that get data from specific platforms. However, it does not explicitly state when not to use it or provide direct alternatives.

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