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AiAgentKarl

patent-intelligence-mcp-server

get_top_patent_holders

Rank companies by patent count to identify top patent holders. Optionally filter by technology sector for targeted competitive analysis.

Instructions

Ranking der Unternehmen nach Patentanzahl.

Zeigt die größten Patentinhaber, optional gefiltert nach Technologie-Sektor. Nützlich für Wettbewerbsanalysen und um die dominanten Player in einem Bereich zu identifizieren.

Verfügbare Sektoren:

  • pharma: Medikamente, Wirkstoffe

  • tech: Software, Computing, Hardware

  • semiconductor: Halbleiter, Chips

  • telecom: Telekommunikation, Netzwerk

  • automotive: Fahrzeuge, Antriebe

  • energy: Energie, Batterien, Solar

  • biotech: Biotechnologie, Gentechnik

  • ai: Künstliche Intelligenz, Machine Learning

  • medical: Medizintechnik, Diagnostik

  • aerospace: Luft- und Raumfahrt

Args: limit: Anzahl Ergebnisse (1-50, Standard: 20) sector: Technologie-Sektor zum Filtern (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sectorNo
Behavior2/5

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

No annotations exist, so the description must disclose behavior. It does not mention output format, pagination, rate limits, or whether it is a read operation. It only states it shows a ranking, which is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a main purpose statement, usage context, parameter details, and a list of sectors. It is fairly concise and front-loaded with the key function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with two simple parameters and no output schema, the description covers the main aspects. However, it lacks details about the output structure (e.g., fields returned), which would be helpful for an agent to interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description adds meaning by specifying limit range (1-50, default 20) and listing all sector options with brief explanations. This compensates for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it ranks companies by patent count, optionally filtered by sector. This distinguishes it from other patent tools that focus on individual patents or different aspects.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions usefulness for competition analysis and identifying dominant players, but does not explicitly guide when to use this tool versus alternatives like analyze_patent_landscape or search_by_assignee.

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

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