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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety and idempotency are covered. The description adds useful content-shape context (a server-side example that marks each generated file before storage or display), but leaves open whether the call itself needs an API key or returns static docs — the mention of 'the API key' is ambiguous between returned content and an auth requirement.

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?

One front-loaded sentence naming the resource, followed by a compact stack enumeration — both earn their place and there is no filler. The single long opening sentence with embedded list items is dense but still readable.

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 single-parameter, read-only retrieval tool with no output schema, the description adequately covers what comes back and how stacks map to enum values. The main residual gap is routing versus sibling documentation tools, which is a usage concern rather than a completeness one.

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?

Schema coverage is 100%, so the baseline is 3, but the description goes further by expanding each enum value: ai-sdk as Vercel AI SDK middleware, javascript as Node/Next/Bun/Deno/edge, http as any other language. That mapping genuinely helps an agent pick the right enum value rather than guessing.

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 states a specific resource and payload: integration code for adding Kennmarq.com marking to an app, enumerating exactly what is included (package, server-side example, fields, API key, verification). It is clear what the tool returns, though it never names or distinguishes itself from the siblings read_doc and get_requirements.

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 implied rather than stated: an agent can infer it should call this when it needs per-stack integration code. There is no explicit when-to-use, no when-not-to-use, and no mention of how this differs from read_doc or get_requirements, which are plausible alternatives for documentation retrieval.

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