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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered. The description adds some value by disclosing that the result set spans drafts, scheduled and published articles with their status, which tells the agent it's a broad read — but it says nothing about pagination behavior or result ordering, which the schema only partially covers.

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 sentence with no filler, and the content-related clause (states and fields) is front-loaded. It loses a point for being a noun fragment with no verb, which makes it slightly less directive than it could be, but nothing is wasted.

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?

There is no output schema, so the description usefully compensates by naming the fields returned (status, target question, GEO score, published URL). Combined with annotations that cover the safety profile, an agent has enough to call this correctly; only pagination/ordering behavior is left implicit.

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 description coverage is 100%, so all five parameters (brand, from, to, limit, offset) are already documented in the schema, including defaults and max values. The description adds no additional parameter semantics beyond what's in the structured fields, so the baseline 3 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 the resource (articles written for the brand) and enumerates the states covered (drafts, scheduled, published) plus the fields carried back (status, target question, GEO score, published URL). It's clear what the tool returns, but it never explicitly frames itself as a listing/query operation nor differentiates itself from siblings like get_article_performance.

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?

There is no when-to-use guidance, no exclusions, and no mention of alternatives such as get_article_performance for metrics or draft_article for creating content. The agent must infer usage purely from the tool name.

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