analyze_positioning

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return values but says nothing about side effects, data sources, required inputs, or any constraints. For an analysis tool that likely performs significant processing, this is insufficient transparency.

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, efficient sentence that front-loads the action. It avoids redundancy and is appropriately brief, though it might be too sparse given the tool's complexity.

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 tool expects three parameters with one required, but the description doesn't elaborate on what constitutes a valid 'brand' or how 'product' and 'industry' modify the analysis. There's no mention of output format beyond the vague list, and no guidance on edge cases or expected usage context. This is incomplete for a tool that returns complex business analysis.

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 description coverage is 0%, and the description does not compensate at all. It doesn't explain what values 'brand,' 'product,' or 'industry' should take, what the defaults mean, or how they influence the output. The parameter names alone are insufficient.

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 action (analyze your brand's market positioning against competitors) and the expected outputs (positioning map, differentiation strategy, messaging framework). It distinguishes itself from sibling tools like analyze_competitor and compare_competitors by focusing on 'your brand,' though it doesn't 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 description provides no guidance on when to use this tool versus similar sibling tools (e.g., analyze_competitor, compare_competitors). There's no context about prerequisites, typical scenarios, or when not to use it.

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