acedatacloud_get_blog_post

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

With no annotations, the description carries the full burden but does disclose two behavioral traits: only published posts are accessible, and the returned content is localized Markdown. It does not mention authentication needs, error handling, rate limits, or whether drafts are excluded, leaving meaningful gaps for a no-annotation tool.

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?

The description is a single front-loaded sentence with no wasted words. It conveys the core action and content scope immediately.

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?

Given a simple two-parameter read operation, full schema description coverage, and an output schema, the description is nearly complete for its purpose. It omits only usage routing and behavioral edge cases, which are minor for this tool type.

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 the schema already defines both the slug and lang parameters clearly. The description's mention of 'localized Markdown content' loosely maps to the lang parameter but adds no syntax or format details beyond the schema.

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 states a specific verb ('Read') and resource ('published blog post') and adds the content detail ('localized Markdown'). It clearly distinguishes from a list operation by implying a single post fetch, but it does not explicitly name or differentiate from the sibling list_blog_posts tool.

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?

The description gives no explicit guidance on when to use this tool versus alternatives such as list_blog_posts, get_doc, or search_docs. The usage context is only implied by the verb 'Read' and the required slug parameter.

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