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

Annotations already declare readOnly, idempotent, and closed-world, so safety is covered; the description adds that the return is full markdown content rather than a snippet, which is useful behavioral context. It stops short of noting any truncation limits or page-size behavior, keeping it from a 5.

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?

Three sentences, front-loaded with the core action and followed by usage and the alternative route, with no redundant phrasing. Every sentence carries a distinct instruction.

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?

Single documented parameter, rich annotations, and an output schema mean the description need not explain return values; what remains, provenance and routing to get_page, is fully covered.

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 100% and the only parameter's description already says 'document id returned by search or list_docs,' so the description's provenance hint repeats structured data. Baseline 3 is appropriate; no extra format or length constraints are added.

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 (fetch full markdown content of a Mintive documentation page) scoped to lookup by id. It explicitly distinguishes itself from the get_page sibling, which is keyed on URL/slug rather than a search-result id.

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 sequencing ('use it after search (or list_docs) to read a page in full before answering') and names the alternative with the condition that selects it: if you have a URL or slug, use get_page instead. Nothing is left to inference.

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