analyze_literature

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention whether the tool is read-only, has rate limits, or how results are returned. The description focuses on analytical capabilities without transparency on effects or constraints.

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 of 17 words. Every word adds value, listing the tool's purpose and deliverables without redundancy.

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?

While the description lists analysis outputs, it does not describe the return format or structure. With no output schema, the agent lacks information on what to expect from the tool, making it somewhat incomplete for an analytical tool of this complexity.

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 single parameter 'paper_ids' is fully documented in the schema with a description. The tool description adds no additional semantics beyond what the schema provides, so it meets the baseline expectation for 100% coverage.

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 analyzes a collection of papers and lists specific outputs (research gaps, themes, trends, patterns, topics). It distinguishes from sibling tools focused on searching, extracting individual keywords, or generating specific charts.

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 implies use when a broad analysis of multiple papers is needed, but it does not explicitly specify when to use this tool versus alternatives like generate_trend_chart or extract_keywords. No when-not-to-use or prerequisite guidance is provided.

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