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maltego_list_transforms

Read-onlyIdempotent

List available Maltego transforms with details on input types, output types, provider, and network requirements. Optionally filter by accepted input type.

Instructions

List available transforms, optionally filtered by accepted input type.

Transforms expand an entity into related entities (e.g. a domain into its IP addresses). The built-in 'local' provider needs no API keys; more providers (a Maltego API, OSINT services) can be added without changing these tools.

Args: params (ListTransformsInput): - input_type (Optional[str]): Only transforms accepting this type.

Returns: str: Markdown list of transforms with name, accepted input types, output types, provider, and whether they require network access.

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 and idempotentHint. The description adds context about the local provider needing no API keys and the return format, which is useful beyond the annotations.

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?

The description is well-structured with a clear main sentence, a brief explanation of transforms, and an Args/Returns section. It is concise yet informative, with no wasted words.

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?

Given the simplicity of the tool (one optional parameter, read-only, idempotent), the description provides all necessary context: what it does, what it returns, and the provider nuance. No gaps.

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

Parameters4/5

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

The description explains the only parameter (input_type) in the Args section, but the schema also includes a description for that field. The description adds value by contextualizing the purpose and return format.

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 lists available transforms with optional filtering. It distinguishes from sibling tools like maltego_run_transform and maltego_explain_transform by focusing on listing. The explanation of what transforms are adds clarity.

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 mentions the purpose and optional filtering, but does not explicitly state when to use this tool versus alternatives like maltego_run_transform. However, the context is clear enough for an agent to decide.

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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