Latest posts
latest_postsThe newest public posts on Knowasiak, optionally about a topic.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many. Default: 10. | |
| topic | No | Optional topic, e.g. "ecommerce" or "real estate Dubai". |
latest_postsThe newest public posts on Knowasiak, optionally about a topic.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many. Default: 10. | |
| topic | No | Optional topic, e.g. "ecommerce" or "real estate Dubai". |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds two useful facts beyond that: results are restricted to 'public' posts (a visibility filter) and are ordered by recency ('newest'). It does not mention default result count or whether the topic filter is a full-text match, which would matter for an open-world feed.
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 compact sentence with zero filler, and the core behavior ('newest public posts') is front-loaded before the optional qualifier.
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 two-parameter, read-only feed tool with rich annotations and a fully documented schema, the description is nearly sufficient. The only residual gap is that there is no output schema and the description says nothing about what a returned post contains.
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%: `limit` has a default and min/max bounds, and `topic` has concrete examples. The description only restates that the topic filter is optional, adding no syntax or matching semantics beyond the schema, so 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 states a specific resource and scope: the newest public posts on Knowasiak, optionally filtered by topic. An agent can tell this is a browse-the-latest-feed tool rather than a search tool, though no sibling is named for explicit contrast.
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 and no mention of when to prefer it over the sibling `search` (which presumably handles keyword discovery) despite the topic parameter overlapping with search semantics. The only hint is 'optionally about a topic,' leaving the choice implicit.
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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