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

Beyond the read-only, idempotent, and non-destructive annotations, it discloses that chat_ids can be withheld for AI read-scope reasons and that the call incurs no AI-credit charge. It also clarifies that a null spending limit means the account limit.

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 operation and resource are front-loaded, followed by compact details about report contents, visibility, result retrieval, and cost. Although the opening sentence is dense, each clause contributes useful selection or invocation context without 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 zero-argument read-only listing tool with an output schema, the description covers scope, report meaning, important returned metadata, privacy-limited fields, cost, and the appropriate retrieval sibling. Exact response structure can be left to the output schema, leaving no significant invocation gap.

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?

There are no input parameters, so the zero-parameter baseline of 4 applies and no invocation syntax requires explanation. The discussion of scope, chat_ids, and spending limit concerns report data rather than inputs.

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 precisely states the verb, resource, and workspace scope, then explains that period reports are daily, weekly, or monthly reports over chosen chats. Directing stored-result retrieval to get_period_report also distinguishes it from the closest sibling.

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 provides an explicit routing alternative: use this tool to list period reports and their configuration, but use get_period_report to read stored results. This gives the agent a clear condition for choosing between the listing and retrieval tools.

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