detect_research_trends

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only says 'detect research trends over time,' which hints at an analysis/read operation but does not state whether the graph is modified, what return value is produced, or what constraints exist (e.g., time_window units, required graph structure).

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 with no filler, making it easy to read. However, it is underspecified: it provides only a purpose clause and omits all practical information, so the brevity is a liability rather than a strength.

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?

With no output schema, no annotations, and sibling tools performing related analyses, a one-line description is far from complete. The agent cannot infer return values, parameter semantics, or appropriate usage context, leaving the tool inadequately specified.

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?

The input schema includes 'graph' and 'time_window', but the description offers no explanation of either parameter. With 0% schema description coverage, the description was expected to clarify that 'graph' is the network to analyze and what 'time_window' means, but it does not.

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 with a specific verb ('detect') and object ('research trends') over time. However, it does not distinguish this tool from sibling tools like 'analyze_author_impact' or 'graph_statistics' in terms of method or scope.

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?

There is no guidance on when to use this tool versus alternatives such as 'find_collaboration_patterns' or 'build_citation_network'. The description only implies it is for trend detection, with no exclusions, prerequisites, or context for selecting it over siblings.

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