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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavior: the monitor persists and consumes credits after the conversation ends until paused/deleted, pricing per page/search result/goal judgement, and that the first check stores current state while later checks report differences. It omits rate limits, permission requirements, and what the creation response contains, but the additions are real.

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 core action is front-loaded in the first sentence, followed by the creation prerequisite and then the credit model. It is long and the pricing rules are packed into one dense sentence with several numeric clauses, but nearly every sentence carries decision-relevant information rather than filler.

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 20-parameter creation tool with an output schema and full annotation coverage, the description supplies the missing pieces an agent needs: the mandatory estimate-then-confirm workflow, post-conversation persistence and credit consumption, cost semantics, and first-check baseline behavior. Nothing essential to correct invocation is absent.

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 schema already documents all 20 parameters and the baseline is 3. The description adds meaning beyond the schema by tying parameters to a cost model (1 credit per page read, 2 credits per 10 search results, 2 credits per judged page/result with a goal) and by explaining that goal switches on the KI-Bewertung, which helps the agent reason about goal/judge_enabled/crawl_limit/max_results together.

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 first sentence gives a precise verb (Create), resource (a monitor in the user's Ragfeed account), and scope (single pages, whole website, or web search on a schedule, reporting new/changed/removed by e-mail and optionally webhook). This clearly distinguishes it from sibling tools like ragfeed_monitor_update, ragfeed_monitor_estimate, and ragfeed_monitor_run.

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 states an explicit prerequisite workflow: call ragfeed_monitor_estimate with the same arguments first, show the user credits per check and per month, and only create after the user's explicit OK. It also names the alternative at the right moment, which is exactly the when-to-use guidance an agent needs.

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