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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds nothing further about behavior — it does not say whether the response is static reference text, a structured outline, or version-specific to the user's project, nor whether any auth or workspace context is required. Some added context, but thin against a lowered bar.

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?

A single sentence with the primary scope ('structure, configure, deploy') front-loaded and the supported stack details following as qualifiers. Every clause carries information; there is no padding or repetition of the title.

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?

With zero parameters, a rich annotation set and no output schema, the description needs only to establish scope and it does so completely enough for selection. The one residual gap is that it never says what comes back (reference documentation content) or that it is the canonical starting point before build/deploy actions, which would help an agent order its calls.

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 takes zero parameters, so the baseline is 4 and the description correctly avoids inventing any. The scope words in the description (bun-Hono vs python-FastAPI, defineMcp) act as implicit topic filters an agent can reason about, though it does not confirm whether the full guide is always returned or can be targeted.

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 opens with a specific verb ('Explains how to') and enumerates the covered subject matter: project structure, denkops.json configuration, and deployment for bun-Hono or python-FastAPI APIs and defineMcp-based MCP servers. This makes clear it is a documentation/guidance tool, distinct from action siblings such as deploy or start_project. It stops short of explicitly contrasting itself with those siblings, which keeps it out of 5 territory.

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?

Usage is only implied: an agent can infer this is the thing to read before structuring or deploying a DenkOps project, but there is no explicit 'use this when' clause and no mention of when not to use it or which sibling to prefer instead. No prerequisites or sequencing guidance (e.g., consult before calling deploy) is stated.

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