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knaisoma

data-olympus MCP server

by knaisoma

call_tool

Execute any discovered tool by name with required arguments to run its functionality directly.

Instructions

Call a tool by name with the given arguments.

Use this to execute tools discovered via search_tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the tool to call
argumentsNoArguments to pass to the tool
Behavior2/5

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

With no annotations provided, the description must carry the burden of behavioral disclosure. It only states the action ('call'/'execute') without addressing potential side effects, error handling, or the dynamic and possibly dangerous nature of executing arbitrary tools. This is a significant transparency gap 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 two sentences with no redundant phrasing. The action and usage context are front-loaded, making it easy to parse and remember. Every word earns its place.

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, and the description does not explain what the caller should expect as a return value or that arguments must conform to the target tool's schema. For a meta-execution tool, this lack of critical context makes the description incomplete.

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 100% with descriptions for both parameters ('The name of the tool to call' and 'Arguments to pass to the tool'). The tool description adds no extra parameter meaning beyond what the schema already provides, so the baseline of 3 applies.

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

Purpose4/5

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

The description clearly states the tool's purpose with the verb 'call' and identifies the resource as a tool by name. It also distinguishes itself from sibling tools by explicitly connecting to 'execute tools discovered via search_tools,' which separates it from search and knowledge-base functions.

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 second sentence provides direct usage guidance: 'Use this to execute tools discovered via search_tools.' This tells the agent exactly when to invoke it. It does not mention alternatives or exclusions, but for a meta-dispatch tool, the context is sufficiently clear.

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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