get_article
Fetch one insight article as readable text (slug, e.g. "control-tower-operations").
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Fetch one insight article as readable text (slug, e.g. "control-tower-operations").
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It only states the action and format, lacking details on side effects, error handling, or read-only nature.
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 sentence, no unnecessary words, front-loaded with key information. 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 simple tool with one param and output schema, the description is adequate but misses usage guidelines and behavioral details. It does not explain the output format despite having an output schema.
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?
Only one parameter 'slug' with 0% schema description coverage. The tool description adds an example slug and context that it's a readable text identifier, adding value 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 clearly states the verb 'Fetch', the resource 'one insight article', and the format 'readable text', with an example slug. It distinguishes from sibling tools like list_articles and search_articles.
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?
Implied usage when you have a specific slug, but no explicit guidance on when to use this vs. alternatives, nor any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a distinct purpose: fetching a single article, fetching an industry overview, listing articles, listing industries, and searching articles. There is no overlap or ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_article, list_industries), making them predictable and easy to understand.
With exactly 5 tools, the set is well-scoped for the server's purpose of retrieving and searching article and industry content. No tool feels extraneous or missing.
The tool set covers all likely operations for a read-only content API: listing and getting both articles and industries, plus search. There are no obvious gaps for the stated domain.