analyze_trends

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

No annotations are provided, so the description should convey behavioral traits. It mentions 'flags in-demand skills you don't have' indicating a gap analysis, but does not explain what 'window_days' does (default 0 is ambiguous), the data source, or any side effects. Transparency is low.

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, concise sentence that gets to the point quickly. While it lacks structure with bullet points or sections, it is efficiently front-loaded with key information.

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?

Although the tool has only one parameter and appears simple, the description omits crucial details about 'window_days'. Without explanation, agents may misuse the default value. The presence of an output schema does not compensate for missing input semantics.

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 mention the only parameter 'window_days'. No added meaning over the schema, which itself lacks description. The parameter's default 0 is unexplained.

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: analyzing skill demand across tracked jobs and flagging in-demand skills that the user lacks. This distinguishes it from sibling tools like 'skills_gap_report' which might focus on gaps differently.

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 (e.g., 'skills_gap_report', 'add_or_update_skill'). The description implies usage for identifying missing in-demand skills but does not provide context on when it is appropriate.

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