Search
searchSearch providers and articles by keyword (name, summary, title). Returns matches with links and .md mirrors.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
searchSearch providers and articles by keyword (name, summary, title). Returns matches with links and .md mirrors.
| Name | Required | Description | Default |
|---|---|---|---|
| query | 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?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds value by specifying the return behavior: matches with links and .md mirrors. There is no contradiction with annotations.
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, well-structured sentence communicates the action, scope, matched fields, and return format with no unnecessary wording. It is front-loaded and easy to parse.
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?
This is a simple one-parameter read-only tool, and the description covers purpose, input semantics, and result type. Minor details like pagination or ordering are not specified, but they are not required for correct invocation.
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 schema has 0% description coverage and only a raw 'query' field with length limits. The description compensates by explaining that the query is a keyword matched against name, summary, and title, and by indicating what the matches contain.
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 uses a specific verb ('Search') and identifies a clear resource ('providers and articles') plus the fields matched ('name, summary, title'). This clearly distinguishes it from sibling tools like list_providers, list_articles, get_provider, and get_article.
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 clear context: use when searching across providers and articles by keyword. It does not explicitly name alternatives or exclusions, but the distinction from list-style and get-style siblings is strongly implied.
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 clearly distinct purpose: listing categories, providers, articles, getting specific items, comparing providers, and searching. No overlap or ambiguity.
All tools follow a consistent verb-noun pattern (compare_providers, get_article, list_categories, search), with clear and predictable naming.
8 tools is well within the ideal range for a focused content and comparison site, covering browsing, retrieval, comparison, and search without unnecessary bloat.
The set covers the core user journey: discover categories, list and compare providers, read articles, and search. Missing write/update operations, but those are not expected for a public information site, so the coverage is appropriate.