guerrilla-franchising-mcp-server

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

With no annotations provided, the description carries the full burden. It discloses behavioral traits like being 'built from real operator experience across 81+ closed deals' and covering specific topics (time to profitability, failure rates, etc.), which adds credibility and scope. However, it doesn't detail output format, potential limitations, or error handling, leaving gaps for a tool with no output schema.

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 appropriately sized and front-loaded, starting with the core objective. However, the list of usage examples is lengthy and could be more streamlined without losing clarity, slightly reducing efficiency.

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 (comparative analysis tool with 4 parameters) and no output schema, the description does well by covering purpose, usage, and data sources. It lacks details on output structure or behavioral constraints, but the strong usage guidelines and transparency partially compensate, making it nearly complete for its context.

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 100%, so the schema already documents all parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema, such as how inputs affect the comparison. Baseline 3 is appropriate when the schema does the heavy lifting.

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: 'Objective comparison: buying a franchise vs. starting a business from scratch.' It specifies the verb ('comparison') and resources (franchise vs. startup), and distinguishes from siblings by focusing on comparative analysis rather than specific aspects like cost breakdown or red flags.

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 explicitly provides when to use this tool with specific query examples: 'Use when someone asks: is buying a franchise worth it, franchise vs starting a business...' It also lists alternative contexts like 'best business to own at 50' and 'transition from corporate to business ownership,' offering clear guidance on applicability.

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