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Get Agent Whatsapp

get_agent_whatsapp
Read-onlyIdempotent

Read the WhatsApp state of the connected account: whether the owner's phone is verified, which platform numbers they can connect, and which conversations already route to which agent. Call this first whenever the user asks to talk to an agent on WhatsApp, and repeat its next_step to them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoOptional: report only this agent's WhatsApp state.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds valuable behavioral context beyond annotations: it reveals that the response includes a 'next_step' that should be repeated to the user, and it describes the contents of the state. No contradiction with 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 two sentences with zero wasted words. The key functional information is front-loaded, and the usage guidance is concise and actionable. Every sentence serves a purpose.

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 read-only tool with full schema coverage and safety annotations, the description is quite complete. It explains what state is read, when to call it, and hints at a 'next_step' in the response. It does not fully detail the response structure, but this is a minor gap given the tool's simplicity and the mention of next_step.

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 input schema fully documents the only parameter, agent_id, with a clear description ('Optional: report only this agent's WhatsApp state.'). The tool description does not add any additional meaning about this parameter, so it relies entirely on the schema's coverage, which is already complete. Baseline 3 is appropriate.

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's purpose: reading the WhatsApp state of the connected account, listing specific aspects (owner's phone verification, platform numbers, conversation-agent routing). It uses a specific verb ('Read') and resource, and is easily distinguished from sibling tools like attach_agent_whatsapp and detach_agent_whatsapp because it is explicitly read-only.

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 explicit guidance: 'Call this first whenever the user asks to talk to an agent on WhatsApp' and instructs to repeat its 'next_step'. This gives clear when-to-use context, but it does not explicitly mention when not to use it or name alternative tools, so it falls just short of a 5.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes with detailed descriptions, but there are some overlapping pairs like read_app_file/read_app_files and create_entity_records vs seed_entity, which could cause misselection. Singular/plural variants and compatibility tools introduce minor ambiguity, but the majority are well-separated.

Naming Consistency4/5

Tool names predominantly follow a consistent verb_noun pattern (e.g., create_app, get_entities, delete_secret). There are some variations like 'agency_create_client' and 'seed_entity' that deviate slightly, but the overall convention is predictable and readable.

Tool Count2/5

With 82 tools, the server is far above the typical range and feels overwhelming. Even for a full platform API, the count is extreme and likely increases selection complexity. A more curated set would improve navigability without sacrificing capability.

Completeness5/5

The tool surface is exceptionally comprehensive, covering app lifecycle, file operations, entity CRUD, versioning, A/B testing, secrets, integrations, domains, agents, scheduling, policies, and member management. No obvious missing operations for the platform's scope; it even includes validation and workflow guidance tools.

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