gemini_research_paper_analysis

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

No annotations exist, so the description carries the full burden. It names the model (Gemini-2.0-flash) and enumerates capabilities (extract findings, critique, etc.) but lacks details on output format, token limits, cost, or any limitations. This provides moderate transparency but leaves important behavioral aspects unspecified.

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 extremely concise: two sentences with no filler. It front-loads the main action and immediately conveys core purpose. Every sentence adds value, making it efficient for an AI agent to parse.

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?

Despite having no output schema, the description fails to explain what the tool returns (e.g., text response, structured data). It also omits prerequisites like paper length limits or document format requirements. For a tool with three parameters and no output schema, this omission leaves the agent without a complete picture of the tool's behavior.

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%, so the schema already describes all three parameters. The description does not add any extra meaning or context beyond what's in the schema (e.g., explaining enum values or how to use additionalContext). Per guidelines, baseline 3 is appropriate when schema coverage is high.

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 performs in-depth analysis of research papers using Gemini-2.0-flash, listing specific capabilities like extracting key findings, critical evaluation, and summarization. It distinguishes itself from sibling tools, which are unrelated (e.g., backup, search, memory), making the purpose unique and specific.

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 clear context on when to use the tool: 'Ideal for academic research, literature reviews, and deep understanding of scientific papers' and 'Best for long-form academic content that requires expert analysis.' However, it does not explicitly state when not to use it or mention alternatives, which is acceptable given no direct sibling competitor.

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