analyze_serial_position

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

No annotations are provided, so the description carries full burden. It mentions analyzing code/components but doesn't disclose what the analysis produces, whether it's a report, score, recommendations, or something else. There's no information about performance characteristics, error conditions, or what happens with invalid input. The description is insufficient for a tool with no annotation coverage.

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?

Reasonably concise with two sentences that cover the core concept and scope. The first sentence explains the serial position effect concept, and the second states what the tool does and its platform coverage. No wasted words, though the Spanish introduction could be considered slightly extraneous for an English-speaking agent.

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?

Incomplete for a 4-parameter tool with no annotations and no output schema. The description doesn't explain what the tool returns, what format the analysis takes, or what constitutes a successful versus problematic analysis. For a UX analysis tool with multiple parameters and no output schema, the description should provide more context about the analysis results and behavioral characteristics.

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 100%, so the schema already documents all four parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it mentions analyzing code/components and working for any platform, but the schema already covers this with detailed parameter descriptions and platform enum values. Baseline 3 is appropriate when schema does the heavy lifting.

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 states the tool analyzes code or UI components according to the serial position effect law for any platform. This provides a general purpose (analyze according to a specific UX law) but is somewhat vague about what specific analysis it performs. It doesn't clearly distinguish from sibling tools like analyze_fitts_law or analyze_hicks_law which also analyze code/components according to different UX laws.

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?

No explicit guidance on when to use this tool versus alternatives. The description mentions it works for 'ANY PLATFORM' but doesn't specify when this analysis is appropriate versus other UX analysis tools in the sibling list. There's no mention of prerequisites, typical use cases, or comparison to similar tools like analyze_von_restorff_effect or analyze_working_memory.

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