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List signup forms

list_forms
Read-onlyIdempotent

The account's signup forms with their last 30 days of views, signups and confirmations. Views are directional: some bots load forms and are counted.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_forms"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds genuine context beyond that: it pins the metrics to a rolling last-30-days window and warns that view counts are directional because bot loads are included, which materially affects how an agent should interpret the numbers. It does not cover pagination, ordering, or volume of results.

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?

Two short sentences, front-loaded with the resource and then the data-quality caveat, with no filler. The first sentence is a verbless fragment ('The account's signup forms with...'), which slightly blunts the opening but costs no real space.

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?

With no output schema, the description must carry the return-value burden, and it does identify the fields and time window returned. However, it says nothing about result size, pagination, ordering, or whether forms with zero activity appear, which leaves meaningful gaps for an agent consuming the output.

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 input parameters, so there is nothing for the description to disambiguate; the baseline applies. The description's mention of a fixed 30-day window is the only 'parameter-like' behavior and it is stated clearly.

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 names a specific resource (the account's signup forms) and enumerates the metrics returned alongside them (views, signups, confirmations), so an agent knows exactly what this returns. It is a noun phrase rather than an explicit verb, and it never distinguishes itself from the many sibling list_* tools, but the resource itself is unambiguous.

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?

Usage is only implied by the name and the resource described; there is no explicit statement of when to call this versus get_automation_report, get_campaign_report, or other reporting tools. For a zero-parameter list tool the implied usage is fairly safe, but no guidance is offered about prerequisites or how to act on the returned metrics.

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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