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import_messenger

Import Facebook Messenger messages from a GDPR data export (JSON format) to build a searchable memory of personal communication history.

Instructions

Import Facebook Messenger messages from a data download (GDPR export, JSON format). Download from: Facebook Settings > Your Information > Download Your Information. Args: data_path: Path to the extracted Messenger data folder (containing messages/inbox/)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_pathYes
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states that the tool imports messages, but does not disclose side effects (e.g., whether it overwrites existing data, requires authentication, or has rate limits). With no further behavioral context, the description is insufficient.

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 brief (3 sentences) and front-loaded with the purpose. The second sentence provides actionable download instructions, and the third defines the parameter. No redundant information, though the parameter definition could be integrated more seamlessly.

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?

For a simple import tool with one parameter and no output schema, the description covers the essential aspects: what, format, how to obtain data, and expected input. It does not describe the return value, but this is less critical for a straightforward import operation.

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 input schema has 0% description coverage, but the description adds meaningful context by explaining that 'data_path' should point to the extracted folder containing 'messages/inbox/'. This compensates well for the schema's lack of detail.

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 specifies exactly what the tool does: import Facebook Messenger messages from a GDPR export in JSON format. It distinguishes itself from sibling import tools (e.g., import_instagram, import_discord_package) by naming the source platform and format.

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?

Provides clear steps for obtaining the required data (Facebook Settings > Download Your Information) and specifies the expected folder structure (messages/inbox/). However, it does not explicitly state when to use this tool over alternatives, though the tool name and context make the context clear.

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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