aaddyy_research_blog_writer

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

No annotations are provided, so the description carries the full burden, and it does disclose two useful traits: the pipeline's use of SERP data/content aggregation and the ~5-credit cost. However, it says nothing about execution characteristics an agent needs (sync vs. async/long-running, output format, article length, whether a URL or text is returned).

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 tight sentence with the core action and pricing front-loaded; nothing is wasted. It is arguably too terse for a 7-parameter tool, but as a conciseness measure it is efficient.

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 7-parameter generation tool with no annotations, no output schema, and zero parameter documentation, the description is far too thin. An agent cannot determine required inputs beyond 'topic' or predict what it gets back, so the definition is not sufficient for correct invocation.

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?

All 7 parameters have 0% schema description coverage, and the description supplies no parameter meaning whatsoever. Critical unknowns such as what 'depth' expects numerically, what format 'sampleArticle' takes, or how 'autoDetectType' interacts with the articleType enum are undocumented in both places.

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 verb and resource ('Generate research-based blog articles') and adds distinguishing scope details: SERP data, content aggregation, embedded source links. It doesn't explicitly separate itself from close siblings like aaddyy_article_generator or aaddyy_essay_writer, so the differentiation is implicit rather than stated.

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 guidance on when to choose this over aaddyy_article_generator, aaddyy_essay_writer, or aaddyy_content_curator, despite those siblings occupying overlapping territory. The tool's niche (research/SERP-backed blog content) has to be inferred from the feature list alone.

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