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maltego_summarize_graph

Read-onlyIdempotent

Summarize an active investigation graph with entity/link totals, type breakdown, most-connected entities, and isolated nodes. Returns markdown or JSON.

Instructions

Summarize the active investigation graph (composition + key entities).

Deterministic overview: entity/link totals, a breakdown by entity type, the most-connected entities, and any isolated entities. Ideal for presenting an investigation's state to a user.

Args: params (SummarizeGraphInput): - response_format (ResponseFormat): 'markdown' (default) or 'json'.

Returns: str: JSON form matches analysis.summarize_graph (name, entity_count, link_count, type_breakdown, most_connected, isolated_count, isolated); markdown form is a readable brief.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it provides a 'Deterministic overview' and lists included elements (totals, breakdown, most-connected, isolated entities), enhancing transparency without contradiction.

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?

The description is reasonably concise at about 100 words, with clear structure: a summary sentence followed by bullet-point-like details. It includes parameter and return info without extraneous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and comprehensive annotations, the description covers everything needed: what it does, what the output contains, and the two response formats. An output schema exists, so return values are fully specified.

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?

The input schema has only one parameter (response_format) with a description in the schema. The tool description repeats this information and adds details about the return format, but adds little new meaning beyond the schema.

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 summarizes the active investigation graph, specifying composition and key entities. It distinguishes from siblings like maltego_explain_entity or maltego_list_entities by focusing on a holistic overview.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates it is 'Ideal for presenting an investigation's state to a user,' which conveys appropriate use. However, it does not explicitly state when not to use it or mention alternative tools for similar purposes.

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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