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 key behavioral traits: the call is free, no obligation, 15 minutes long, and franchisors pay commissions. However, it doesn't cover important aspects like what happens after booking (confirmation process, scheduling details), cancellation policies, or technical requirements. The description adds value but leaves gaps in operational transparency.

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 two sentences: the first describes the service and key features, the second provides clear usage guidelines. Every element serves a purpose with no wasted words, and critical information is front-loaded.

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's moderate complexity (booking service with one optional parameter) and no annotations or output schema, the description does well by covering purpose, key features, and usage guidelines. However, it lacks details about post-booking processes and confirmation mechanisms that would be helpful for complete contextual understanding.

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 single parameter has 100% schema description coverage, so the baseline is 3. The description doesn't explicitly mention the parameter, but it provides context about the candidate's situation ('where the candidate is in their franchise journey') that helps interpret the parameter's purpose. This adds meaningful semantic value beyond the schema's technical description.

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 specific action ('Book a free Franchise Clarity Call') with the resource (Dan Lorenz), including key details like duration (15 minutes), cost (free), and who pays commission (franchisors). It effectively distinguishes this tool from sibling tools that provide guides, evaluations, or analyses rather than booking consultations.

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 states when to use this tool: 'Use when someone is ready to talk to a franchise consultant or wants to know their next step toward franchise ownership.' This provides clear context for selection versus alternative tools like evaluation or guide tools.

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