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Glama

Server Details

Create AI surveys with dynamic follow-up probing directly from your AI assistant.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
feedbk-ai/feedbk-mcp-server
GitHub Stars
2
Server Listing
AI Survey Creator MCP Server

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 4.1/5 across 1 of 1 tools scored.

Server CoherenceB
Disambiguation5/5

Only one tool exists, so there is no risk of ambiguity or misselection between tools.

Naming Consistency5/5

With a single tool, naming consistency is inherently perfect; 'survey_builder' is a clear and appropriate name.

Tool Count1/5

One tool is far too few for the broad range of operations claimed (create, edit, preview, publish, close, analyze). It should be split into multiple focused tools.

Completeness1/5

The single chat-like interface provides no direct, structured operations. It lacks modular tools for each survey lifecycle step, forcing agents to rely on conversational context instead of clear, discrete actions.

Available Tools

1 tool
survey_builderAInspect

Send a message to the feedbk survey-builder agent. It can create, edit, preview, publish, close, and analyze AI-moderated surveys. Omit session_id on the first call; pass the session_id from the previous response on follow-up calls to continue the conversation (sessions expire after an hour of inactivity).

ParametersJSON Schema
NameRequiredDescriptionDefault
messageYes
session_idNo
Behavior3/5

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

No annotations are provided, so the description must disclose all behavioral traits. It mentions session expiration, which is good, but does not cover authorization, rate limits, error handling, or the nature of the response. The disclosure is adequate but incomplete.

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 with no redundancy. Every sentence adds critical usage information, making it highly efficient and front-loaded.

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?

Given the complexity of a conversational survey builder, the description lacks details about the response format, error conditions, or what the agent returns. It covers basic usage and session management, but the agent would benefit from more context about expected outputs or limitations.

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?

Schema coverage is 0%, so the description must add meaning. It explains the session_id usage pattern (omit first, include later, expiration) which adds significant value beyond the schema. The 'message' parameter is not elaborated, but its purpose is self-evident from the tool context.

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 clearly states the tool sends a message to a survey-builder agent and enumerates its capabilities (create, edit, preview, publish, close, analyze). This makes the purpose explicit and distinct, despite no sibling tools provided.

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?

The description provides clear guidance on session handling: omit session_id on first call, pass the returned session_id on follow-ups, and notes session expiration after an hour. It lacks explicit when-not-to-use or alternatives, but the context is clear for a conversational agent.

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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