analyze_patent_landscape

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

No annotations are provided, so the description bears the full burden. It describes the tool as performing analysis (not modification) and lists the data it analyzes. It does not explicitly state that it is read-only or safe, but the context of 'analysis' and 'recommendations' implies non-destructive behavior. It lacks details on authentication, rate limits, or side effects, but is sufficiently transparent for an analysis tool.

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 relatively concise, with a clear structure: first a paragraph on what the tool does, then a line differentiating from a sibling, then parameter explanations. It front-loads the key purpose. However, the German text is slightly verbose in the first line, but overall efficient.

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?

Given the tool's complexity (multi-dimensional landscape analysis), the description covers its purpose, key outputs (structured analysis, recommendations), and parameter details. There is no output schema, but the description states it returns structured analysis. It also distinguishes from a key sibling among 14 tools. It is sufficiently complete for an agent to understand usage.

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 has 0% description coverage, but the tool description includes an 'Args' section that explains both parameters: 'query' as a technology search term with examples, and 'years' as the analysis period with range (1-20) and default (5). This adds substantial meaning beyond the schema's type-only definitions.

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 it does a comprehensive landscape analysis ('Umfassende Landschaftsanalyse') for a technology area, listing specific aspects like top assignees, trends, IPC/CPC codes, geographic distribution, and competitive intensity. It distinguishes itself from the sibling tool 'get_patent_landscape' by emphasizing structured insights and recommendations over raw data.

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 explicitly differentiates from 'get_patent_landscape' by noting it focuses on structured analysis insights and gives recommendations, which guides when to use this tool vs the sibling. It implies use for strategic decision-making ('ideal für Reports und strategische Entscheidungen'), but does not specify when not to use it or mention alternatives.

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