Skip to main content
Glama
osintukraine

OSINT MCP Server

by osintukraine

get_channel_network

Analyze a Telegram channel's content to build a network graph of semantic relationships, topic clusters, and hub nodes.

Instructions

Build content network graph for a channel - semantic relationships, topic clusters, hub nodes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channel_idYesChannel ID
time_windowNoTime window: 7d, 30d, 90d, all
max_messagesNoMax messages to analyze
include_clustersNoInclude K-means topic clusters
similarity_thresholdNoMin similarity for edges
Behavior2/5

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

With no annotations provided, the description carries full burden but only says 'build content network graph.' It does not disclose behavioral traits such as computational cost, required data volume, or potential side effects (e.g., heavy processing on large channels).

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, front-loaded sentence that immediately conveys the action and outputs. No unnecessary words, every part earns its place.

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?

Given 5 parameters, no output schema, and no annotations, the description is too minimal. It does not explain what the network graph looks like (nodes, edges, how to interpret), how parameters affect the result, or what format the output takes. A more complete description would cover these aspects.

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% (all 5 parameters have descriptions in the schema). The description adds no additional meaning beyond what the schema already provides, so baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool builds a content network graph for a channel, with specific outputs like semantic relationships, topic clusters, and hub nodes. This verb+resource structure effectively distinguishes it from sibling tools like get_channel_stats and get_message_network.

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. The description does not mention prerequisites, use cases, or conditions under which this tool is preferred over siblings like get_influence_network or get_channel_analytics.

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/osintukraine/osint-mcp-server'

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