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

Beyond the readOnlyHint/openWorldHint annotations, it adds cost ('Free'), an authorization requirement ('Needs a signed-in connection'), and the shape of the response (per-model flagged notes, each carrying the number). It does not state response size, ordering, or latency, but the safety and auth profile an agent needs is fully covered without contradicting the annotations.

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?

Purpose is front-loaded in the first clause and the follow-up sentences covering triggers, presentation, cost, and auth are all short and functional. The opening sentence is a dense run-on with a long nested parenthetical enumerating every check, which costs some readability but each clause carries distinct information.

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 parameters, no output schema, and a capped result set, the description carries the full burden of explaining what comes back, and it does: model digest with flagged numbers, live workshops, and matching services, plus instructions on how to render it. Nothing an agent needs to call or report this 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 no parameters, so the baseline is 4. The description usefully documents the implicit scope the agent cannot infer from the empty schema: the ten most recently edited models and the specific threshold list used to decide what gets flagged.

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 names a specific verb (reports) and a precisely scoped resource (flagged notes for the ten most recently edited cap tables, exit waterfalls, and fund models), plus adjacent content (workshops, matching services). An agent can distinguish this from list_saved_models or get_saved_model, which return models rather than an opinionated digest of what is worth noticing.

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?

Trigger conditions are explicit: 'when the user asks how their models look, or on a scheduled check-in or morning brief,' plus guidance on how to present results ('lead with flagged notes; if nothing is flagged, say little or nothing'). It does not name alternatives it should be preferred over (e.g., get_saved_model for a single model), so it stops short of full routing guidance.

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