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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds valuable context about public keyless access versus authenticated creation, and warns that a positive budget cap is only a declaration, not reserved funds or proof of payment.

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 front-loaded with 'START HERE' and then provides dense but relevant orientation material. Some platform details and secondary capability mentions are less essential, but the overall structure is purposeful for an onboarding tool.

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 onboarding tool with no output schema, the description does a good job orienting the agent to the ecosystem and naming next-step tools. It falls short only by not explicitly describing what start_here itself returns and by not contrasting with the sibling discovery tools.

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?

This tool has zero parameters and schema description coverage is 100%, so parameter semantics are not a concern. Per the rules, a zero-parameter tool gets a baseline of 4.

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 establishes this as the entry point ('START HERE') and summarizes the GEC ecosystem plus the authenticated actions available through named downstream tools. However, it does not explicitly state that this tool returns a manifest/best-next-call, and it does not differentiate itself from siblings like audit_mcp or knowledge_search.

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?

It gives clear context for when to start here and explains the split between keyless public discovery and authenticated User MCP actions such as project/demand creation and bidding. It names specific downstream tools for those actions, though it does not explicitly exclude or compare itself with the listed siblings.

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