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invoke_tool

Invoke any platform tool by name, providing a JSON string of arguments. Supports connector operations and utilities.

Instructions

Invoke a platform tool directly by name.

Tools include connector operations (e.g. "hubspot.list_contacts"), utility tools, and more. Use list_connectors to see available tools.

Args: tool_name: The tool to invoke (e.g. "slack.post_message") arguments: JSON string of tool arguments

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_nameYes
argumentsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It explains parameters but does not mention that the actual effect depends on the invoked tool, nor does it discuss potential side effects, idempotency, or error handling.

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 concise and well-structured: a brief introductory sentence, examples, a reference to list_connectors, and a clear Args section. Every sentence serves a purpose.

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

Completeness4/5

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

Given the tool's generic nature and the presence of an output schema, the description provides sufficient context for basic usage. It could be more complete by mentioning error handling and that the response structure depends on the invoked tool.

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 coverage is 0%, so the description must compensate. It adds value by specifying that 'arguments' is a JSON string and provides an example for tool_name, but does not elaborate on the JSON format or validation constraints.

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 verb 'Invoke' and the resource 'platform tool directly by name'. It distinguishes from the many sibling tools by being a generic invocation tool, 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 Guidelines4/5

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

The description mentions 'Use list_connectors to see available tools', providing a clear link for discovering tools. However, it does not explicitly state when to use this tool versus directly calling a specific tool, leaving some ambiguity.

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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