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BACH-AI-Tools

WhatsApp OSINT MCP Server

base64_encoded_profile

Retrieve WhatsApp profile pictures as base64 encoded files for OSINT investigations by providing a phone number with country code.

Instructions

Fetch the base64 encoded file of a whatsapp number profile picture.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesEnter phone number with country code, without special characters.13022612667
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool fetches data, implying a read-only operation, but doesn't mention any behavioral traits such as rate limits, authentication requirements, error conditions, or what happens if the profile picture doesn't exist. This leaves significant gaps in understanding how the tool behaves in practice.

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 a single, clear sentence that efficiently conveys the core functionality without any wasted words. It is front-loaded with the key action and resource, making it easy to scan and understand quickly.

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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description is adequate but minimal. It covers the basic purpose but lacks context on usage guidelines, behavioral details, and output format (e.g., what the base64 string represents or how to handle errors). For a tool with no annotations or output schema, more completeness would be beneficial.

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 schema description coverage is 100%, with the single parameter 'phone' fully documented in the schema. The description adds no additional parameter semantics beyond what's already in the schema, such as format examples beyond 'without special characters' or handling of invalid numbers. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Fetch') and the resource ('base64 encoded file of a whatsapp number profile picture'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'fetch_osint_info' or 'status', which might also involve WhatsApp data retrieval, so it doesn't reach the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, limitations, or comparisons with sibling tools like 'fetch_osint_info' that might offer overlapping functionality. The agent must infer usage context solely from the tool name and description.

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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