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delorenj

33GOD Pipeline MCP Hub

by delorenj

call_domain_tool

Invokes a specific tool within a domain, using the tool name and arguments, and returns the result.

Instructions

Invoke a specific tool within a domain and return its result.

arguments is a JSON object that must conform to that tool's input_schema (from list_domain_tools(domain)). Example: call_domain_tool("plane", "list_projects", {})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
domainYes
argumentsNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It says 'invoke' which implies potential side effects, but it does not disclose any behavioral traits such as permissions, rate limits, error handling, or what happens if the domain/tool is invalid. The description is too generic to inform the agent about behavioral aspects.

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 plus a concise example. Every sentence is informative, with no fluff or repetition. The structure is front-loaded with the core purpose and then provides an illustrative example. It is appropriately sized for the tool's simplicity.

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 tool has 3 parameters, no output schema, and a sibling with a different purpose, the description is moderately complete. It explains the invocation pattern and the argument requirement. However, it does not describe the return value format, possible errors, or how to obtain the input schema for a specific tool. The example helps but does not cover all contextual gaps.

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 description coverage is 0%, so the description must add meaning. It explains that 'arguments' must conform to the tool's input schema and gives an example. However, it does not describe what 'domain' and 'tool' represent (e.g., they must match values from list_domains/list_domain_tools). The example partially compensates, but the meaning of all parameters is not fully clarified.

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 it invokes a specific tool within a domain and returns its result. The verb 'invoke' and the resource 'tool within a domain' are specific, and it distinguishes from the sibling 'list_domains', which only lists domains.

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 provides an example and notes that arguments must conform to the tool's input schema from list_domain_tools. However, it does not explicitly state when to use this tool vs alternatives, nor does it mention prerequisites (e.g., needing to call list_domain_tools first). Usage context is implied but not fully explicit.

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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