predict_pattern_emergence

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

No annotations are present, so the description must carry the full burden. It only states 'predict' and 'with detailed analysis', but does not disclose what the analysis entails, whether it has side effects, requires specific access, or consumes resources. The behavior is vague.

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, front-loaded sentence with no filler. It is concise but could benefit from additional context without becoming verbose.

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 prediction tools and the many similar siblings, the description is insufficient. It does not explain the kind of analysis, what 'alternatives' refers to, or how the output aids decision-making. No output schema exists to compensate.

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% and the schema already describes the one parameter (pattern_type) with examples. The description adds minimal extra meaning beyond 'specific pattern'. Baseline 3 is appropriate as the 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 clearly states the tool predicts when a specific pattern will emerge, using a verb-object structure. It mentions 'detailed analysis and alternatives', which adds some specificity. However, it does not explicitly differentiate from similar sibling tools like 'get_pattern_predictions' or 'analyze_and_predict'.

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 guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or scenarios where other tools would be more appropriate. Given the large set of sibling tools, this is a significant gap.

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