nexusfeed-mcp

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

With no annotations provided, the description carries full burden for behavioral disclosure. It effectively describes the tool's function and output content, but lacks details about potential limitations, error conditions, authentication requirements, or rate limits. The description doesn't contradict annotations (none exist), but could provide more operational 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 perfectly structured with two sentences: the first explains what the tool returns with specific details, the second provides clear usage guidance. Every word serves a purpose with zero redundancy or unnecessary information.

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 0 parameters, 100% schema coverage, and an output schema exists, the description provides excellent context about what information is returned and when to use it. The only minor gap is lack of behavioral details like error handling or performance characteristics, but the output schema will cover return structure.

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 with 100% schema description coverage. The description appropriately doesn't discuss parameters since none exist, and instead focuses on the tool's purpose and usage context. This exceeds the baseline expectation for parameter documentation.

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 specific verb ('Returns metadata') and resource ('all US states currently supported by the ABC License API'), including detailed content about what metadata is returned (agency name, data freshness SLA, extraction method, CAPTCHA presence). It distinguishes from sibling tools by focusing on state-level metadata rather than license operations.

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 explicit usage guidance: 'Use this first when building a multi-state compliance workflow to understand coverage.' This clearly indicates when to use the tool (initial workflow setup) and implies its role in understanding system capabilities before using sibling tools like abc_lookup_license or abc_search_licenses.

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