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forecast_domain

Forecasts the likelihood that a domain will be blocked in a given country within the next horizon. Input domain and country code.

Instructions

Domain-specific blocking forecast — given a domain and a country, predicts the probability that domain will be blocked in the next horizon.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain name (e.g. twitter.com, wikipedia.org)
country_codeYesISO 3166-1 alpha-2 country code
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It only mentions prediction but lacks details on data recency, model type, read-only nature, or what 'next horizon' entails. Minimal transparency.

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?

Single sentence front-loaded with purpose, no wasted words. Extremely concise and structured well.

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?

Adequate for a 2-param tool, but lacks explanation of 'next horizon', output format (probability value?), and any caveats. Gaps exist given missing annotations and sibling tool confusion.

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 already fully describes both parameters (domain with example, country_code with standard). Description adds no extra semantic value beyond restating 'given a domain and a country'. Baseline 3 for 100% coverage.

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 the verb 'predicts' and the resource 'blocking probability for a domain given country'. It adds 'domain-specific' which hints at its scope, but does not explicitly differentiate from sibling forecast tools like forecast_tft or forecast_trajectory.

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 alternative forecast tools. No mention of prerequisites, when-not-to-use, or context like horizon meaning.

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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