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

Beyond the readOnly/idempotent annotations, it discloses that the content is static prose identical for every user, carries no team data, and is roughly 14 KB for the main topic — which lets an agent budget context and skip redundant fetches. It also flags the redundancy relationship between topics, a behavioral trait not expressed anywhere in the structured fields.

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?

Front-loads the core statement and the read-before-acting rule before the topic catalogue, and every sentence carries information. The per-topic parentheticals are dense but slightly list-heavy, costing a little economy versus a single tight sentence.

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?

One enum parameter, full schema coverage, no output schema — and the description still establishes content type, size, invariance, redundancy rules and the sibling to use for live permission data. Nothing an agent needs to invoke 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?

Schema coverage is already 100% with an enum, but the description adds real meaning by summarizing what each of the five topics actually contains, so the agent can pick the right one without trial and error. It also designates "instructions" as the playbook, a priority signal the enum alone does not convey.

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?

States a specific verb and resource ("Returns one of Flask's usage guides as Markdown") and immediately scopes the content as fixed, user-invariant reference text with no team data. This clearly separates it from data-bearing siblings like permission_get, feedback_get and contents.

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?

Gives explicit when-to-use ("Read it before acting on feedback or making your first write in a session"), explicit when-not-to-fetch ("it already contains display and concepts, so do not fetch those after it"), and names the alternative for a different need ("for one folder's or asset's actual access, use permission_get").

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