compare_trends

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions cost ($0.010 USDC) and service ('signal'), which adds some context, but fails to describe critical behaviors: what 'compare' entails operationally, how rankings are determined, what format recommendations take, whether this is a read-only or mutating operation, or any rate limits/authentication needs.

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 a single sentence front-loading the core functionality, followed by cost and service details. Every element serves a purpose, though the cost/service information could be better integrated or explained in context.

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?

For a tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on comparison methodology, output format, error conditions, and how it relates to sibling tools. The cost and service mentions are helpful but don't compensate for missing behavioral and parametric context.

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%, so the description must compensate. It implies 'topics' parameter corresponds to 'AI trends' but provides no semantic details: what constitutes a valid topic, format expectations, or how the array size (2-5) affects comparison. The description adds minimal value beyond what's inferable from the schema's structural constraints.

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: comparing AI trends head-to-head with rankings and recommendations. It specifies the verb 'compare' and resource 'AI trends', along with the scope of 2-5 topics. However, it doesn't differentiate from sibling tools like 'score_trend' or 'model_threats' that might also analyze trends.

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 alternatives. It mentions cost and service but doesn't explain scenarios where this comparison is appropriate, prerequisites, or how it differs from similar tools like 'score_trend' in the sibling list.

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