preview_phraseGet a short AI explanation of any phrase without generating a full article. Cheap and fast — use it to decide whether a topic is worth creating.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral transparency burden. It discloses that the tool returns a short AI explanation, does not generate a full article, and is cheap and fast. It does not explicitly state absence of side effects, but for a preview-style read operation this is reasonably transparent.
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 two sentences with no filler. It front-loads the core function, then adds cost and usage guidance. Every sentence earns its place.
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 single-parameter tool with an output schema, the description covers the main workflow purpose and cost profile. It does not mention any edge cases or non-use cases, but the low complexity and existing output schema make it largely 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?
Schema description coverage is 0%, so the description must compensate for the text parameter. It adds only 'any phrase,' which provides minimal scope but no constraints, examples, or format guidance. The parameter is simple, but the description does little to enrich it.
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 a specific verb and resource: 'Get a short AI explanation of any phrase.' It also distinguishes the tool from full article generation by saying 'without generating a full article,' which separates it from create_topic and related siblings.
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?
It provides explicit usage context: 'use it to decide whether a topic is worth creating' and notes it is 'cheap and fast.' However, it does not explicitly name alternative tools or state when not to use it, leaving some inference to the agent.
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.
Most tools map cleanly to distinct actions like create, read, edit, and search. The main ambiguity is between search_topics and discover_topics, though the descriptions clarify keyword vs. semantic retrieval.
All tool names follow a consistent lowercase verb-first pattern: create_, discover_, edit_, list_, preview_, read_, search_. This makes the expected action immediately clear and predictable.
Seven tools is well-scoped for an encyclopedia server, covering search, discovery, reading, creating, editing, demand insight, and pre-authoring previews. Each tool serves a distinct step without unnecessary bloat.
The core lifecycle is covered: discover and read topics, create missing ones, edit sections, and preview phrases before committing. Deletion is absent but is reasonably not part of this shared knowledge-base workflow.