Skip to main content
Glama

execute_tool

Run any Watson Orchestrate tool by name or ID, automatically resolving names and ensuring agent access before invocation. Pass parameters as JSON to trigger the desired tool.

Instructions

Execute a Watson Orchestrate tool by name or ID. Use for prompts like "execute News Search Tool" or "run the Weather tool". Resolves tool names (e.g. "News Search Tool") to IDs, ensures an agent has the tool, then invokes it. Pass parameters as a JSON object if the tool requires them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_idNo
agent_idNo
tool_nameNo
parametersNo
Behavior3/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It explains the internal flow: 'Resolves tool names... ensures an agent has the tool, then invokes it.' However, it doesn't disclose potential side effects, permission requirements, or error behavior, which leaves significant gaps for an execution tool.

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 three concise sentences: purpose, usage examples, and mechanics. Every sentence adds value, and the most important information (what it does) is front-loaded.

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?

The tool has no output schema, no annotations, and four parameters with zero schema descriptions. The description gives a basic overview but omits critical details such as the return value format, how to handle errors, whether execution is synchronous, and clear semantics for agent_id. This is inadequate for a generic execution tool with such sparse structured metadata.

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 input schema has 0% description coverage, so the description must compensate. It explains that parameters should be passed as a JSON object and distinguishes between name and ID for tool identification. However, agent_id is only implicitly mentioned via 'ensures an agent has the tool,' and the schema itself provides no property descriptions, so the compensation is incomplete.

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's function: 'Execute a Watson Orchestrate tool by name or ID.' It provides specific examples like 'execute News Search Tool' and distinguishes itself from siblings such as invoke_agent by focusing on tool execution rather than agent invocation.

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 gives explicit usage context with examples ('Use for prompts like...'), which helps the agent know when to call this tool. However, it doesn't mention when not to use it or directly name alternatives, so it lacks the full exclusionary guidance of a 5.

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/markusvankempen/wxo-builder-mcp-server'

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