book_growth_auditReturn the link where a user books Growthmak's free 30-minute growth diagnostic, plus what the session covers and what they leave with. This server CANNOT book a slot or submit contact details on anyone's behalf — send the user to the returned bookingUrl to choose a time. Never claim a booking has been made.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds significant behavioral context beyond the readOnlyHint annotation: it specifies the tool cannot perform bookings or submit details, and warns against claiming a booking. This is a model of transparency for a read-only information retrieval tool.
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?
Two sentences, no wasted words. The first sentence front-loads the core purpose, the second provides critical usage constraints. Every sentence earns its place.
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 with no parameters and no output schema, the description fully covers what the agent needs: what it returns, what it does not do, and how to use it. Sibling tools are distinct, and the context is complete.
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?
With zero parameters and 100% schema coverage, the description does not need to elaborate on parameters. It mentions the return value (bookingUrl, session coverage, what they leave with), which adds value for the agent. Baseline 4 is appropriate.
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 returns a booking link for a free growth audit plus session details. It uses specific verbs ('return the link') and distinguishes from sibling tools like find_case_studies or get_packages which serve different purposes.
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 warns the agent that it cannot book a slot or submit contact details, instructing to send the user to the returned URL. This provides clear guidance on when to use the tool (for getting the link) and when not to claim a booking, though it does not name alternative tools for booking (which none exist).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: book_growth_audit returns a booking link, check_market_coverage checks geographic coverage, find_case_studies retrieves case studies, get_growth_engine explains the Growth Engine system, get_packages lists packages, get_page retrieves a specific page, and search_growthmak is a fallback search. There is no overlap or ambiguity.
Most tools follow a verb_noun pattern (e.g., book_growth_audit, check_market_coverage, find_case_studies, search_growthmak), but get_growth_engine and get_page deviate slightly with 'growth_engine' and 'page' not being as uniformly structured. The naming is consistent and readable overall.
With 7 tools, the set is well-scoped for a marketing consultancy's MCP server. Each tool covers a distinct functional area (booking, geographic coverage, case studies, system explanation, packages, page retrieval, and search). No tool feels redundant or missing.
The server provides good coverage for key interactions: it can inform about services, packages, case studies, and booking. A minor gap is the lack of a tool to submit contact details or make a booking directly, but this is explicitly documented as out of scope. The surface feels complete for its stated purpose of information provision.