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AiAgentKarl

Agent Context Optimizer MCP

suggest_minimal_set

Suggests the minimal set of servers needed for a task to optimize context efficiency and reduce resource waste.

Instructions

Empfehle die minimale Server-Kombination für maximale Effizienz.

Gibt die absolut kleinste Menge an Servern zurück die für eine Aufgabe benötigt werden — für maximale Context-Effizienz.

Args: task_description: Beschreibung der Aufgabe

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_descriptionYes
Behavior2/5

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

Without annotations, the description only states it returns the smallest set of servers. It does not disclose side effects, idempotency, required input format, or behavior when no solution exists.

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 concise with a clear purpose statement and a minimal Args block. No redundancy, but the structure could include more details without verbosity.

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

Completeness2/5

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

Missing critical information: no output schema, no description of return value (e.g., list of server IDs?), no criteria for selection, and no edge cases. The tool's behavior is underspecified for effective use.

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

Parameters2/5

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

Schema coverage is 0%. The description's Args section merely repeats 'task_description: Beschreibung der Aufgabe', adding no format, example, or constraints beyond the parameter name.

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 recommends the minimal server combination for maximum efficiency, distinguishing it from siblings like optimize_server_set. However, it could be more specific about the output format or criteria for minimality.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like optimize_server_set or analyze_task. Does not mention when not to use it or any prerequisites.

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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