Skip to main content
Glama
Mohith535

NitroWatch

by Mohith535

generate_glue

Creates a stub connector function that invokes a tool on one server and passes its output to a tool on another server, enabling inter-server tool chaining.

Instructions

Generate a stub connector function that calls a tool on one registered server and pipes its result into a tool on another

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceToolYes
targetToolYes
sourceServerIdYes
targetServerIdYes
Behavior2/5

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, but it only states the high-level purpose. It does not mention whether the operation has side effects, what the output format is, or whether the servers must already be registered. This leaves the agent without essential behavioral context.

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 a single sentence that effectively front-loads the main verb and object. Every word contributes to conveying the tool's core function, with no redundant or filler content.

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

Completeness2/5

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

Given four required parameters, no annotations, and no output schema, the description is too sparse. It does not specify what the generated 'stub connector function' looks like, how it is returned, or any behavioral implications. The tool's complexity demands more context than this brief description provides.

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?

The schema has 0% description coverage, so the description must compensate. It explains the roles of 'source' and 'target' (calling a tool on one server and piping the result to another), which adds meaning beyond the property names. However, it does not elaborate on parameter formats or the exact relationship between server IDs and tool names, so compensation is partial.

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 identifies the action (generate a stub connector function) and the resources involved (tools on two servers). It distinguishes itself from sibling tools like register_server or approve_action, making its purpose unambiguous.

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 usage when one needs to connect a tool on one server to a tool on another, but it does not explicitly state when to use this vs alternatives, nor mention prerequisites such as servers needing to be registered first. The usage context is only implied.

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/Mohith535/nitrowatch'

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