Blog posts
list_blog_postsRecent BestBounceBiz blog posts, newest first.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
list_blog_postsRecent BestBounceBiz blog posts, newest first.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds the ordering guarantee ('newest first'), which is genuine value, but says nothing about default page size, whether results are truncated, or what a returned post contains.
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?
One front-loaded fragment with zero filler, and the ordering information comes early. It is arguably too terse given the undocumented limit parameter, but nothing in it 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?
A one-parameter read tool with no output schema needs little, and annotations cover safety. Still, the description omits the default number of posts returned and any hint about post fields, which an agent needs to decide whether to pass limit.
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 0% and the single parameter (limit, max 20, optional) is never mentioned in the description. 'Recent' hints at a bounded result set but does not state the default count, the effect of limit, or its cap, leaving the agent to read the schema for all meaning.
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?
Names a specific resource (BestBounceBiz blog posts) and a specific scope/ordering ('recent', 'newest first'), so an agent knows exactly what it retrieves. Sibling tools cover unrelated data (methodology, rankings, leaders), so no differentiation is needed; the only gap is that 'recent' is never quantified.
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 or when-not-to-use guidance, no mention of the limit parameter, and no indication of the default result size or whether pagination exists. The agent must infer everything from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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