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ImYourBoyRoy

web-scraper-server

by ImYourBoyRoy

configure_host_learning

Manage host-profile auto-learning for web scraping: enable or disable learning, adjust thresholds, and choose apply modes to fine-tune behavior.

Instructions

Configure host-profile auto-learning behavior.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enabledNo
thresholdNo
apply_modeNo
profiles_pathNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Configure' without revealing side effects, persistence, scope of impact, or whether it modifies existing host profiles. This is minimal disclosure and leaves significant behavioral ambiguity.

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

Conciseness5/5

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

The description is a single sentence with no filler or redundant information. It is front-loaded and efficient, stating the action and target in a compact form, which is ideal for conciseness.

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?

This is a configuration tool with four nullable parameters and no annotations, yet the description provides only a one-line summary. It does not explain parameter purposes, defaults, side effects, or when to use the tool. Given the complexity and missing schema coverage, the description is incomplete for an agent to invoke it correctly.

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 description coverage is 0%, and the description does not mention any parameter names or semantics. The schema's property names (enabled, threshold, apply_mode, profiles_path) are somewhat self-explanatory, but the description fails to provide additional meaning or context for how these parameters interact with the auto-learning behavior, resulting in insufficient compensation 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 states a clear verb ('Configure') and resource ('host-profile auto-learning behavior'), distinguishing it from sibling tools like set_host_profile by focusing on the auto-learning aspect. However, it does not elaborate on what 'auto-learning behavior' specifically entails, so it is clear but not fully explicit.

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 gives no guidance on when to use this tool versus alternatives such as set_host_profile or configure_scraper. It lacks context about prerequisites, scenarios, or conditions under which this tool is preferred, so there is no usage guidance beyond the basic action.

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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