Skip to main content
Glama

clients_audaura_unitar_assets_build_leadform

Builds a lead form for clients by processing key-value arguments passed via stdin.

Instructions

!/usr/bin/env python3

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsNoKey-value arguments passed to the script via stdin
Behavior1/5

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

With no annotations and a trivial description, the agent cannot infer any behavioral traits (e.g., side effects, authorization needs, or resource impacts). The description provides zero transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Although extremely short, the description is devoid of useful content. A proper description should be front-loaded with the tool's purpose; this one provides no value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, no annotations, and a vague input parameter, the description fails to provide any completeness. The agent cannot determine what the tool accomplishes or what to expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool description does not add any meaning beyond the input schema. While the schema has 100% coverage for the single parameter, the description is a shebang line and does not clarify parameter usage or semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a shebang line '#!/usr/bin/env python3' which does not indicate any purpose or action. It fails to state what the tool does, making it completely uninformative for an agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when or how to use this tool is provided. No alternatives or context are given, leaving the agent without any basis for selection.

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/toggle-workspace/toggle-mcp'

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