List knowledge base articles
desk365_list_kb_articlesThe titles of all live knowledge base articles. Open one with desk365_get_kb_article. GET /v3/kb/article/.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
desk365_list_kb_articlesThe titles of all live knowledge base articles. Open one with desk365_get_kb_article. GET /v3/kb/article/.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful scope context — only article titles are returned and only live (non-archived) articles are included — plus the underlying endpoint GET /v3/kb/article/. It says nothing about pagination or expected result size, which matters for an 'all articles' listing.
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?
Two short sentences front-load the return content, then the next step and endpoint. Nothing is wasteful, though the third fragment ('GET /v3/kb/article/.') is a bare endpoint reference of marginal value to an agent that cannot supply it as input.
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?
With no input parameters and no output schema, the description carries the burden of explaining the return value, and it does so ('titles of all live articles'). The only real omission for a zero-arg list tool is pagination/result-cap behavior, which keeps it just below fully complete.
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?
The tool takes zero parameters, so per the baseline there is nothing for the description to disambiguate. The description correctly implies no filtering is possible and that the call is unconditional.
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 ('The titles of all live knowledge base articles') and immediately distinguishes the scope from the sibling read tool by noting only titles are returned and that desk365_get_kb_article fetches the full article. An agent can pick between the list and get tools without opening either schema.
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?
'Open one with desk365_get_kb_article' gives the explicit follow-up path and names the alternative tool, so the two-step list-then-fetch workflow is clear. It stops short of stating when not to use this tool (e.g. when the article ID is already known), so it lacks a full exclusion clause.
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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