Skip to main content
Glama

forecast_platform

Predict the probability that a platform (e.g., WhatsApp, Telegram) will be blocked in a specified country within the next horizon. Input platform name and ISO country code.

Instructions

Platform-specific shutdown-risk forecast — given a platform (whatsapp, telegram, signal, twitter, etc.) and a country, predicts the probability that platform will be blocked in the next horizon.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYesPlatform name (whatsapp, telegram, signal, twitter, tiktok, facebook, instagram, ...)
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 says 'predicts the probability' without detailing what happens with invalid inputs, rate limits, or whether the result is a single value or distribution. Inadequate for a prediction tool.

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?

Single sentence, front-loaded with key information. However, the ambiguous 'next horizon' could be clarified without adding length.

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?

No output schema exists, and the description fails to explain what 'next horizon' means, the output format (e.g., probability value), or any prerequisites. Incomplete for a forecast tool with no structured context.

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 coverage is 100%, and parameter descriptions are already clear (platform examples, ISO code). The description adds no additional semantic value beyond restating that the tool uses a platform and country.

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?

Clearly states it forecasts platform-specific shutdown risk given a platform and country. The verb 'predicts the probability' and examples clarify the resource. However, the term 'next horizon' is vague without specification, slightly reducing clarity.

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?

Implies usage for platform risk forecasting in a country, but no explicit guidance on when to use this vs. sibling tools like 'get_platform_risk' or other forecast tools (e.g., 'forecast_domain', 'forecast_region'). No when-not or alternative conditions are mentioned.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/voidly-ai/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server