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maltego_get_entity

Read-onlyIdempotent

Retrieve full details of a specific entity from your Maltego investigation graph using its entity ID, available in markdown or JSON format.

Instructions

Fetch full details of one entity on the active graph by id.

Args: params (GetEntityInput): - entity_id (str): Entity id (e.g. 'n0'). - response_format (ResponseFormat): 'markdown' (default) or 'json'.

Returns: str: Entity detail. JSON form is {id, type, value, properties, notes, weight}; markdown form is a readable block. Error if the id is unknown.

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 provide readOnly and idempotent hints. Description adds that it returns JSON or markdown, includes error handling for unknown id, and outlines the return structure, which goes beyond annotations.

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 clear and front-loaded, though it uses a Python docstring format that is slightly longer than necessary. Every sentence adds value, but it could be more concise.

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

Completeness4/5

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

Given 2 parameters, annotations, and no output schema shown, the description adequately explains return format and error behavior. It could mention the active graph context explicitly, but it is sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage. The description explains both parameters: entity_id with an example, and response_format with enum values, fully compensating for the lack of schema descriptions.

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 fetches detailed entity data by id, distinguishing it from list-oriented and mutation siblings like maltego_list_entities and maltego_update_entity.

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?

The description implies usage when you have a specific entity id but does not explicitly state when to prefer this over listing or explain tools. No when-not or alternative guidance is given.

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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