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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds that it 'Returns paper title, authors, publication details, citation count, and link to paper,' which is valuable behavioral/return information beyond the annotations. No contradiction.

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 two sentences, front-loaded with the main action, then return fields and usage examples. Every sentence serves a purpose with no redundancy, making it highly concise and well-structured.

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 simple two-parameter, read-only search tool with no output schema, the description provides everything needed: purpose, return fields, and use cases. It is self-sufficient for an agent to decide whether and how to invoke it.

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 schema description covers 100% of the parameters ('query' and 'max_results' with descriptions and a default), so the baseline is 3. The tool description does not add additional parameter detail beyond what the schema already provides.

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 opens with 'Search Google Scholar for computer science research papers, citations, and academic publications,' specifying both verb and resource. It clearly distinguishes the tool from siblings like search_arxiv by naming Google Scholar and its CS focus, and it lists the return fields, reinforcing what the tool does.

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 states 'Use for finding research on CS topics, reviewing state-of-the-art, or citation tracking,' giving clear use cases. However, it does not explicitly mention alternatives or when not to use it, so it falls short of the highest bar for usage guidance.

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