Everyday Software Voice Demo
Server Details
Prepare a browser AI receptionist demo link from a public business website.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- PpiNeaPpLe/everydaysoftware-integrations
- GitHub Stars
- 0
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusion or misselection. Its purpose (returning a prefilled demo link) is stated unambiguously, including explicit non-goals.
The single tool follows a clear snake_case verb_noun pattern (prepare_voice_demo_link). With only one name there is no convention mixing to flag.
A single tool is thin for a server named after a broader voice-demo domain, and the description lists many capabilities it deliberately does not provide. The scope is defensible as a link generator, but the surface feels minimal.
For the narrow act of generating a prefilled demo link the tool is self-contained, but the surrounding domain (demo status, configuration, call initiation) is entirely absent, leaving agents with no follow-up path.
Available Tools
1 toolprepare_voice_demo_linkPrepare a website voice-demo linkARead-onlyIdempotentInspect
Use when the user wants to try a free AI receptionist demo based on a public business website. Returns a link with the website prefilled. Does not fetch the site, start a voice call, send a message, create a phone number, or deploy an agent. The user builds and starts the demo in their browser.
| Name | Required | Description | Default |
|---|---|---|---|
| website_url | Yes | Public business homepage, for example https://example.com. No account pages or credentials. Paths and queries are removed. |
Output Schema
| Name | Required | Description |
|---|---|---|
| limits | Yes | |
| status | Yes | |
| demo_url | Yes | |
| next_steps | Yes | |
| source_website | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnly, idempotent, non-destructive, non-open-world), yet the description adds real behavior the annotations cannot convey: the tool does not fetch the site, returns a link with the website prefilled, and the demo is built and started by the user in the browser. That clarifies the tool's side-effect-free, offline-preparation nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Use case is front-loaded and the sentences are short with no filler. The negative-action list is slightly longer than strictly necessary but each clause disambiguates against a plausible mis-selection, so it largely earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema present, return-value detail is unnecessary, and the description still conveys the shape of the result (a prefilled link). For a single-parameter, read-only tool the description covers selection, scope, and outcome completely.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the single parameter already documents accepted input, the public-homepage requirement, and the path/query stripping. The description only echoes the 'prefilled' outcome, adding little beyond the schema, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (prepare/return) and resource (a prefilled voice-demo link) tied to a concrete scenario. The negative list ('does not fetch the site, start a voice call, send a message, create a phone number, or deploy an agent') sharply bounds what the tool is, so an agent cannot mistake it for a deployment or calling tool even without siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Opens with an explicit activation condition ('Use when the user wants to try a free AI receptionist demo based on a public business website') and then enumerates the adjacent actions this tool is NOT for. Both when-to-use and when-not-to-use are stated, leaving nothing to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
prepare_voice_demo_link
Related MCP Connectors
Build and test an AI front desk for a service business from its website, before signing up.
- FALAOAuthai.elav8.fala
Build and install a voice + chat AI receptionist for any business website.
Create and install an AI Website Salesperson for sales, qualification, and lead capture.
Turn a company domain into a structured B2B sales brief from their public website.
Related MCP Servers
- FlicenseAqualityDmaintenanceFetches and analyzes website content to provide business context to AI agents, designed for Voice AI in GoHighLevel.1-
- FlicenseAqualityCmaintenanceReads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.11-
- AlicenseNot gradedqualityDmaintenanceEnables users to check any public website's AI crawler access, GEO readiness, and latest public brand mention and citation reports in ChatGPT, Gemini, and Perplexity.MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to assess a small business's AI readiness (0–100 score), suggest tailored AI use cases, describe Essetech's services, and book a free consultation.49 npmMIT
Glama MCP Gateway
Add one secure layer between your agents and this server.