Amazing Marvin MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does but doesn't describe how it behaves—for example, whether it returns real-time data, requires authentication, has rate limits, or what format the summary is in. This is a significant gap for a tool that likely aggregates data from multiple sources.

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, efficient sentence that front-loads the key information ('Get productivity summary') and adds necessary detail ('with completed tasks and goals progress'). There's no wasted text, and it's structured to convey the core functionality immediately.

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 complexity of summarizing productivity data and the lack of annotations and output schema, the description is incomplete. It doesn't explain what the summary includes beyond high-level categories, how data is aggregated, or what the return format looks like. For a tool with no structured output documentation, this leaves significant gaps for an AI agent.

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 0 parameters, and the schema description coverage is 100%, so there's no need for parameter documentation in the description. The baseline for this scenario is 4, as the description appropriately doesn't waste space on non-existent parameters and focuses on the tool's purpose.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('productivity summary'), and specifies what it includes ('completed tasks and goals progress'). However, it doesn't distinguish itself from its sibling tool 'get_productivity_summary_for_time_range', which suggests this tool might be for a default time period while the sibling is for a custom range.

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 no guidance on when to use this tool versus alternatives. It doesn't mention the sibling tool 'get_productivity_summary_for_time_range' or explain why one would choose this tool over other productivity-related tools like 'get_completed_tasks' or 'get_goals'. There's no context about prerequisites or typical use cases.

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