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

No annotations, so the description carries full burden. It reveals the return shape (slug, title, excerpt, author, date, category, URL, JSON-LD) and the silent-failure behavior of high limits is documented in the schema rather than the description. No auth requirements, rate limits, or empty-result caveats in the description itself.

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?

Well-structured: purpose, return shape, usage context, and concrete examples. Slightly long with the example calls, but every sentence adds value.

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?

Complete for a read-only list tool with a rich schema. The description covers purpose, usage, return fields, and examples. No output schema exists, so the return-field enumeration is valuable. Minor gap on pagination or empty-result behavior.

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%, so parameters are fully documented in the schema. The description adds example calls that clarify typical usage patterns, but no semantics beyond what the schema provides. Baseline 3 is appropriate.

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+resource (returns Siigo blog articles) with clear scope (recent, per-country, optional topic). Distinguishes from sibling data tools like get_products and get_compliance_info by focusing on blog content.

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?

Explicitly says 'Use this when the user wants up-to-date Siigo perspectives on accounting, taxes, PYMEs, fintech or product launches,' giving clear context. No explicit when-not or named alternatives, but the domain is specific enough that usage is unambiguous.

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