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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the bar is lower. The description still adds real value by stating 'Static text,' which tells the agent the call performs no computation and returns fixed prose rather than model output.

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?

A single front-loaded sentence that leads with the tool's nature ('Primer') and then lists the covered topics compactly. No filler, no repetition of the title, and every clause contributes to topic discovery.

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 static-text tool with no output schema, the description supplies enough: what the content covers and that it is static. It could go further by noting the response is prose only or by pointing to the run/list tools as follow-ups, but nothing essential for correct invocation 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 there is nothing for the description to disambiguate beyond what the empty schema shows. Baseline for a no-parameter tool applies.

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 resource (a primer/explainer on supply chain network optimization) and enumerates the concepts it covers. It distinguishes itself from content-oriented siblings like explain_simulation and explain_greenfield by topic, though it never names those siblings 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?

Usage is only implied: an agent can infer this is background reading rather than a computational tool, helped by the 'when to optimize versus simulate' framing. There is no explicit 'use this when...' statement, no exclusion of cases, and no reference to the sibling explainer tools that cover adjacent topics.

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