Ludus FastMCP

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

No annotations are provided, so the description carries full burden. It mentions 'applied changes' which implies mutation/write operations, but doesn't specify what gets changed, whether changes are reversible, permission requirements beyond 'admin only', or any side effects. For a tool that applies changes with zero annotation coverage, this leaves critical behavioral aspects undocumented.

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 efficiently structured with a purpose statement followed by Args and Returns sections. Each sentence adds value. However, the purpose statement itself could be more informative. The structure is good but content could be denser.

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?

For a tool that applies optimization changes with no annotations and no output schema, the description is incomplete. It doesn't explain what 'optimization' entails, what resources are affected, what criteria drive optimization, or what the return format looks like. The context signals show minimal parameter documentation, and the description doesn't adequately fill these gaps.

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?

Schema description coverage is 0%, so the description must compensate. It explains that user_id is 'Optional user ID (admin only)', adding important permission context. However, it doesn't explain what 'range' means or what optimization criteria are used. With only 1 parameter partially documented, this meets the baseline for minimal compensation.

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 'Optimize resource allocation for the range' which provides a basic verb+resource combination, but 'optimize' is vague and doesn't specify what resources or what optimization means. It doesn't distinguish from sibling tools like 'optimize_template' or 'get_resource_quotas'. The purpose is understandable but lacks specificity.

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 provides minimal guidance with 'admin only' for the user_id parameter, but doesn't explain when to use this tool versus alternatives like 'optimize_template' or 'get_resource_quotas'. There's no context about what triggers optimization or what problems it solves. The guidance is insufficient for informed tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.