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sounny

sounnyforms-mcp

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submit_form

Submit structured form data to any email address or custom form ID with zero API keys. Each submission reaches the recipient's inbox and is stored in an encrypted vault.

Instructions

Submits structured form data directly to any recipient email address or custom form ID on SounnyForms with ZERO API keys required. The submission is delivered to the recipient's inbox and permanently logged in their encrypted Cloud Firestore vault.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoFull name of the submitter.
emailYesSubmitter's email address for direct 1-click Reply-To.
messageYesInquiry message body or bug report details.
extra_fieldsNoOptional custom key-value pairs (e.g. { 'Company': 'Acme', 'Budget': '$10,000', 'Timeline': 'Q3' }).
recipient_email_or_form_idYesDestination email address (e.g. 'alex@company.com') or form identifier (e.g. 'lead_inquiry').
Install Server

TDQS

A4/5.0
Behavior4/5

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 clearly states the submission is delivered to the recipient's inbox, permanently logged in an encrypted Cloud Firestore vault, and requires no API keys. This goes beyond the basic action by describing side effects and persistence, though it does not mention response details or limitations like rate limits.

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 entire description is a single dense, front-loaded sentence. It covers the action, destination, authentication requirement, delivery outcome, and logging behavior without wasted words. Every clause earns its place.

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 form-submission tool with full schema coverage, the description is largely complete: it explains what happens after submission, where data is stored, and that no API keys are needed. It lacks an output/return expectation and explicit caveats, but those are not essential for selecting and invoking this tool correctly.

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?

Schema description coverage is 100%, so the input schema already documents all parameters. The description itself adds little parameter-level meaning beyond reinforcing that the destination can be an email or form ID. Baseline 3 is appropriate because the schema handles parameter documentation.

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 uses a specific verb ('Submits') with a clear resource ('structured form data') and destination ('any recipient email address or custom form ID on SounnyForms'). It also adds a key differentiator ('ZERO API keys required'), making the tool's purpose unmistakable and distinct from the sibling generate/inspect tools.

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 when to use the tool: whenever structured form data needs to be submitted or delivered. However, it does not explicitly state when not to use it or name alternative tools, so an agent must infer the appropriate usage context from the description and sibling names.

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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