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osintukraine

OSINT MCP Server

by osintukraine

get_message_network

Extract entity relationship graphs from messages, identifying locations, persons, organizations, and military units with AI tags for visualization.

Instructions

Get entity relationship graph for a message - locations, persons, organizations, military units, AI tags. Flowsint-compatible visualization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
message_idYesMessage database ID
max_similarNoMax similar messages to include
include_similarNoInclude similar messages in graph
similarity_thresholdNoSimilarity threshold (0-1)
Behavior3/5

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

With no annotations, the description carries the burden. It explains the output is a graph with entity types and visualization compatibility, but does not disclose read-only nature, data freshness, or limitations. Adequate but not comprehensive.

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 concise sentence that covers the main purpose and key details. Efficient, though could be slightly more front-loaded.

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?

The description covers the basic purpose and output type but lacks details on output format, prerequisites, or behavior in edge cases. Given no output schema, more context would be helpful.

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% with parameter descriptions. The description adds no extra parameter information beyond what the schema provides, so baseline 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?

Clearly states it gets an entity relationship graph for a message, listing specific entity types (locations, persons, etc.) and mentions Flowsint compatibility, differentiating it from sibling tools like get_entity_relationships or get_message_social_graph.

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. Siblings like get_entity_relationships or get_message_social_graph exist but no differentiation or usage context is provided.

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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