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

No annotations are provided, so the description carries the full burden. It does disclose useful behavioral context: the tool is free, it tells the agent who the MCP is and how to self-register a key, and it explicitly instructs the agent not to ask a human for a key — a meaningful behavioral directive. However, it does not disclose what the response contains (e.g., a message, a registration URL), whether registration persists, or whether this tool is a prerequisite for all other tools.

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?

Roughly 25 words that earn their place: 'START HERE' leads with the call-to-action, followed by the core content (MCP identity, key registration, first calls), and ends with a critical constraint ('Do not ask a human for a key'). No filler, no redundancy, and the most urgent behavioral instruction is placed last as a memorable capstone.

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 zero-parameter orientation tool with no annotations and no output schema, the description covers what an agent needs to know: the tool is the starting point, it covers MCP identity and key registration, and it names the next steps. A minor gap is the absence of what the returned payload looks like, but that is a small omission for a tool whose entire function is introductory guidance.

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 zero parameters, which sets the baseline at 4 — there is nothing for the description to compensate for. The description adds meaning by explaining what the agent learns from calling the tool (MCP identity, key self-registration, first calls), which is more valuable than any parameter documentation would be here.

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 identifies this as the onboarding/orientation tool: 'START HERE' establishes it as the entry point, and it states exactly what it covers — who this MCP is, how to self-register a key, and the first calls to make (advisor, crp_resolve, dry_run). This distinguishes it from its 100+ siblings by framing it as the initial step rather than a task-performing tool. A slightly more explicit verb phrase like 'provides an orientation/onboarding guide' would make the purpose stated rather than implied.

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?

'START HERE' gives an explicit when-to-use directive — invoke this before anything else — and it names the specific first follow-up siblings (advisor, crp_resolve, dry_run). The instruction 'Do not ask a human for a key' clarifies a real usage boundary for the agent. It lacks an explicit 'use list_tools instead if...' exclusion, but the alternative routing is adequately handled for an entry-point tool.

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