Skip to main content
Glama

List contact-form submissions

list_contact_form_submissions

Retrieve contact form submissions from your project, with optional search and pagination. Read-only access; does not consume credits.

Instructions

List the project's captured contact-form submissions (id, email, subject, message, data). Read-only; doesn't consume credits. Use search= to substring-match against email, subject, or message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number. Default 1.
searchNoSubstring match against email, subject, or message body.
page_sizeNoItems per page (1–200). Default 50.
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. It explicitly states 'Read-only; doesn't consume credits,' which communicates the safety profile and side-effect-free nature. It also lists the returned fields, adding transparency about the output. It doesn't mention pagination behavior, but the schema covers page/page_size parameters.

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 and front-loaded with the core purpose, followed by read-only/credit disclosure and search usage. Every sentence serves a distinct informative purpose with no redundancy or filler.

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 listing tool with no output schema and optional parameters, the description covers the essential behavioral and return information (fields list, read-only, credit usage, search behavior). It doesn't describe the response format in detail, but the enumerated fields give a strong hint, and the schema handles parameter validation.

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 coverage is 100%, with each parameter having a clear description. The tool description adds minimal value beyond the schema—it repeats the search substring-matching details in different wording but doesn't introduce new semantics for page or page_size. 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 uses a specific verb 'List' and identifies the exact resource ('contact-form submissions') along with the fields returned (id, email, subject, message, data). This clearly distinguishes it from sibling list tools like list_galleries or list_blog_posts.

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?

It provides clear context by stating this lists the project's captured contact-form submissions and gives specific usage for the search parameter ('Use search= to substring-match against email, subject, or message'). However, it doesn't explicitly state when not to use this tool or mention alternative tools, so it falls 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.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vbalagovic/neuraldraft-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server