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

Annotations already declare readOnly/idempotent/non-destructive, but the description adds real behavioral context: at most three rows, the status source (SAP announcement registry), the caution that 'a date is a plan, not a commitment', and the meaning of an empty result. Enumerating the returned fields overlaps the output schema somewhat, but the plan-vs-commitment caveat is information no structured field carries.

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 trigger condition is front-loaded and the fallback guidance is placed at the end where it belongs. The middle enumerations (twelve challenges, returned columns) are dense and border on schema duplication, but they earn their place by letting the agent judge in-scope vs out-of-scope questions without a second call.

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 read-only search tool with a full output schema, the description covers the trigger, the domain scope, the ranking model, the status provenance, the empty-set behavior and the redirect targets. Nothing material an agent needs to decide whether and how to call it is missing.

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 question, lang and audience, including the enums and the 'full sentences match best' hint. The description reinforces the EN/FR/DE matching scope, which ties to lang, but says nothing about the audience enum or that it only reorders already-matched challenges — that nuance lives only in the schema. Baseline 3 is appropriate.

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?

A specific verb and resource: it matches a natural-language question to twelve named, ranked challenges, and enumerates them (agents in production, Joule value, the BW cliff, EU compliance, etc.). It explicitly contrasts itself with term lookup ('rather than a term'), which separates it from search_concepts and get_concept_card among the siblings.

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?

'Start here when someone asks about an SAP AI & analytics PROBLEM rather than a term' gives an explicit entry condition and an exclusion. The empty-result case is handled with concrete alternatives: search_concepts, find_academy_modules, get_day_rate_benchmark, so the agent knows where to route a miss.

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