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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile needs no restating. The description adds genuinely new behavior: results are snippets plus a release-version stamp, not full pages, which is why it tells the agent to follow up with get_doc. It omits ranking behavior, whether results can be empty, and how the release stamp should be interpreted.

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?

Front-loaded with the purpose, then the return shape, then the follow-up action — a natural decision order. The example list is the only long element and each example demonstrates a distinct query shape, so nothing is padding.

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 no output schema, the description carries the return-value burden and does so adequately by naming title, url, release version and matched passage. Combined with the get_doc hand-off, an agent has enough to act. The only real hole is the undocumented limit parameter and the absence of any note on zero-result behavior.

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 50%: q is documented in the schema and further enriched by the description's examples showing both task phrasing ("double opt-in") and problem phrasing ("emails not sending"), which is real added meaning. The limit parameter is undocumented in both schema and description — no hint that it caps result count at 10 — so the gap is unmitigated.

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?

"Find the NetSendo documentation page or step-by-step how-to for a task" gives a specific verb (find) and resource (documentation page/how-to), then reinforces it with five concrete example queries spanning setup tasks and troubleshooting ("emails not sending"). It also implicitly separates this from siblings like get_blog_post and list_docs by scoping to documentation pages rather than blog content or a plain listing.

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 clearly routes the agent: search here first, then "Read the whole page with get_doc (id)" — an explicit named alternative and the condition for using it. What's missing is any exclusion for adjacent tools (search_blog, list_docs, get_product_facts) when a query is ambiguous, but the documentation scoping makes most of that inference safe.

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