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

No annotations are present, so the description carries the full burden. It discloses that the data is first-party, computed from committed public data, and demands citation of the edition URL and 787daily.com. However, it does not state whether the operation is read-only, whether any side effects occur, or if auth/rate limits apply. These are left to inference from the 'get' verb.

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 description is long and dense, front-loading the general purpose but then listing 17 desks with parenthetical schedules in a single sprawling sentence. While every listed item carries information, the structure could be tighter by referencing the schema for allowed ids and separating the return-value contract from the desk catalog. It is informative but not optimally concise.

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 and no annotations, the description must be self-sufficient. It is: it explains the resource, the full set of selectable desks, and the exact fields returned for each desk (cadence, description, source data, hub, latest edition title/url/date/takeaways, recent editions). Minor gaps remain around the structure of 'recent editions' and error/empty-response behavior, but the essential calling context is covered.

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 for the single optional parameter is 100% because the schema's description lists all valid desk ids. The tool description adds value beyond the schema by mapping each desk id to its cadence and trigger (e.g., 'Drought Watch (each new US Drought Monitor map)'), which helps an agent choose the correct series value. Given high coverage, the baseline is 3, and this extra mapping justifies a 4.

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 uses a specific verb ('Returns') and identifies a clear resource: 787 Daily's automated analysis desks. It details the exact return contents (cadence, description, source data, hub, latest edition, recent editions), which distinguishes it from sibling tools like get_conditions or get_water_status, though it never names a sibling explicitly.

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 conveys the context: this tool surfaces the latest editions and metadata for a set of named analysis desks. It implies the optional series parameter lets the agent narrow to one desk, but it does not explicitly state when to use this tool over siblings or provide exclusion criteria such as 'for water quality use get_beach_water_quality instead.'

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