platform_modules
The parts of the Fugentic platform and what each one does.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The parts of the Fugentic platform and what each one does.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only says what the tool is about, not what it returns, whether it is a read-only informational lookup, or any other behavioral trait. It does not contradict annotations because there are none, but it adds minimal 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no filler. It is concise and front-loaded with the subject. However, it is slightly under-specified: it reads more like a title or subtitle than a full tool description, so it does not fully earn a 5.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and no output schema, the description is the only source of context. It tells the agent the topic but not the form of the output, the level of detail, or how it relates to sibling tools. For an informational tool, an agent needs at least a hint of what the response will contain to decide whether to call it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is no parameter semantics burden on the description. The schema is trivially complete with an empty object, and the description does not need to explain any inputs. Baseline 4 is appropriate for a no-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states that the tool covers 'the parts of the Fugentic platform and what each one does,' which identifies the resource (platform parts) and the kind of information provided (explanations). However, it does not use a strong action verb like 'list' or 'explain,' and it does not differentiate itself from sibling tools such as how_it_works or about_fugentic, which could plausibly cover similar content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus the sibling tools. There is no mention of alternatives, exclusions, or a specific use case. An agent would have to guess whether to call platform_modules, how_it_works, or about_fugentic for a given question.
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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