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elenchus_configure_optimization

Configure token optimization settings to reduce token usage and improve efficiency. Manage compression modes, context token limits, and semantic caching with fuzzy matching.

Instructions

Configure token optimization settings including compression, context management, and semantic caching.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
compressionNoCompression settings
contextNoContext management settings
semanticCacheNoSemantic caching settings
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure, but it only says 'Configure' without detailing side effects, persistence, immediacy of changes, or whether it requires an active session.

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 a single 10-word sentence, very concise and to the point. No superfluous content, though it could be expanded slightly for clarity.

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?

The tool is complex with three nested objects and many properties, but the description is extremely high-level. It lacks explanation of defaults, effects, or relationships with sibling tools like elenchus_set_compression_mode.

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

Parameters3/5

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

Schema description coverage is 100% with each nested object having a brief description (e.g., 'Compression settings'). The description only mirrors those labels without adding meaning about what the settings do (e.g., modes like 'full' vs 'compact'). Thus it adds minimal value beyond the schema.

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 states a clear verb+resource ('Configure token optimization settings') and lists three main categories (compression, context management, semantic caching). However, it does not differentiate from the sibling tool 'elenchus_set_compression_mode' which covers a subset of this functionality.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no context about appropriate usage scenarios.

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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