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Heffl Free Tools

AI WhatsApp message draft

whatsapp_generate
Read-only

Generate a business WhatsApp message draft using Heffl's DeepSeek service. Only drafts text; never sends messages. Provider configuration required server-side. Free, no authentication required. Rate limited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
useCaseYes
addEmojiNo
businessBioNo
messageToneNoProfessional
businessNameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

With readOnlyHint/destructiveHint already declaring a safe profile, the description still adds genuine context: a no-send guarantee (draft-only), required server-side provider configuration, no authentication, and rate limiting. These are operational facts an agent cannot derive from the annotations. It does not describe return or error behavior, but the output schema covers returns.

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?

Four short sentences, front-loaded with purpose and followed by distinct operational facts. No filler, though the 'Heffl's DeepSeek service' brand mention is incidental rather than decision-relevant.

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 moderate five-parameter generation tool with an output schema and safe annotations, the description covers the operational essentials (auth, cost, rate limits, no side effects) that an agent needs to invoke it. The remaining gap is parameter-filling guidance, which is unaddressed anywhere.

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

Parameters2/5

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

Schema description coverage is 0% across five parameters, so the schema offers no per-field guidance and the description never names or explains any parameter (useCase, businessBio, messageTone, businessName, addEmoji). The words 'business' and 'message' hint at context but add essentially no fill-in semantics for an agent.

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?

States a specific verb (Generate) and resource (business WhatsApp message draft) plus the backing service (Heffl's DeepSeek). The purpose is unambiguous. Sibling tools are all in unrelated domains (pricing, agreements, tax), so no explicit differentiation is needed, but none is provided either.

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 the usage context ('business WhatsApp message draft') and clarifies via 'Only drafts text; never sends messages,' which is a useful boundary. However, it gives no explicit when-to-use guidance or named alternatives, so the guidance remains implied rather than stated.

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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