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AiSensy MCP by usefulapi

Get project

aisensy_get_project
Read-only

The AiSensy project (WhatsApp account) this key belongs to: name, status, plan and renewal date, monthly active user quota and usage, credit balance (raw units as AiSensy reports them), WhatsApp number, display name status, quality rating and messaging tier. GET /project/{project_id}.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already establish that this is read-only and non-destructive. The description adds useful context beyond that: the project is scoped to the calling key, and credit balance is in raw AiSensy units, which matters for interpreting results. It still omits error or rate-limit behavior, so it is not complete.

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?

It is a single dense sentence with the resource and scope front-loaded, and no wasted preamble. The long field list is justified because there is no output schema, though the trailing endpoint is slightly redundant.

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?

With no output schema and no parameters, the description supplies the key information an agent needs: the auth scoping, the returned project fields, and a caveat about raw credit units. Nothing essential for calling or interpreting this simple read is missing.

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?

There are zero parameters, so the baseline is 4. The description mentions the underlying /project/{project_id} path but does not introduce additional parameter semantics, and the key-bound wording implies the project is resolved from authentication rather than an argument.

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 identifies the exact resource (the AiSensy project/WhatsApp account), its key-bound scope, and enumerates the metadata returned. It is clearly distinct from contact, campaign, message, and template siblings, though it relies on the trailing GET endpoint rather than an explicit 'returns' verb.

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 phrase 'this key belongs to' implies the tool is for fetching the current account/project context, and the field list signals the questions it answers. However, it never states when to call it versus the many other get/list tools, nor does it name any alternative.

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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