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

Annotations already cover readOnlyHint=true and openWorldHint=false, so safety is declared. The description adds meaningful scope information beyond that: the results are limited to what "this connection can reach," which tells the agent to expect a connection-scoped, possibly partial inventory. It does not describe ordering or pagination, but with no output schema it still conveys the shape of the return.

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?

Two short sentences, both earning their place: the first declares the returned resources and fields, the second tells the agent what to do with them. The most actionable information (what you get) is front-loaded.

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 zero-parameter, read-only discovery tool with no output schema and no nested structures, the description covers what is returned, the field-level detail for organizations, and the intended downstream use of the results. Nothing an agent needs in order to call it correctly 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?

The tool takes zero parameters, so the baseline is 4 and there is nothing the description needs to compensate for. It does not waste words re-explaining an empty schema.

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 ("List") and enumerates the actual resources returned: organizations with id and name, projects, and environment names. It is slightly broader than the tool name list_projects, but that broadening is clarifying rather than confusing. It does not explicitly distinguish itself from the many list_* siblings (list_dashboards, list_cohorts, etc.), which is why it falls short of 5.

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?

"Use the returned project ids and environment names for other tool calls" gives clear context that this is a discovery/bootstrap call whose outputs feed subsequent operations. It does not state when not to use it or name an alternative, but no obvious alternative exists for this discovery role.

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