Bryntum
Server Details
Bryntum Suite
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Score is being calculated. Check back soon.
Available Tools
1 toolsearch_bryntum_docsAInspect
Search Bryntum product documentation for technical information. Use this to find API references, configuration options, examples, and best practices for Bryntum products like Scheduler, Scheduler Pro, Gantt, Calendar, Grid, and TaskBoard. You must provide a version of the libray you are using. It can usally be found in package.json. If you can t fine it, use latest.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of results to return (default: 10, max: 100) | |
| query | Yes | Natural language search query describing what you want to find | |
| product | No | Filter by specific Bryntum product (e.g., scheduler, schedulerpro, gantt, calendar, grid, taskboard) | |
| version | No | Filter by documentation version. Use 'latest' for most recent version. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds valuable operational context about finding versions in package.json, but fails to disclose return format (search results vs. full docs), authentication requirements, or rate limits. The 'search' verb implies read-only behavior but this is not explicitly confirmed.
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 appropriately front-loaded with purpose, followed by use cases, then operational requirements. All four sentences earn their place. Minor typos ('libray', 'usally', 'can t') slightly detract from professionalism but do not significantly impair clarity or structure.
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?
Given the lack of output schema, the description should ideally explain what the search returns (e.g., snippets, URLs, rankings). While it adequately covers input requirements (despite the version confusion), the omission of return value description leaves a significant gap for an agent trying to interpret results.
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%, establishing a baseline of 3. The description adds the helpful package.json location hint for the version parameter. However, it undermines this by implying version is mandatory ('You must provide') when the schema marks it optional, creating semantic confusion without sufficiently compensating for the contradiction.
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 opens with the specific verb 'Search' and clear resource 'Bryntum product documentation', immediately establishing scope. It further clarifies by listing specific products covered (Scheduler, Gantt, etc.) and content types returned (API references, configuration options), leaving no ambiguity about the tool's function.
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?
The description provides operational context about locating the version in package.json and using 'latest' as a fallback, which helps with invocation. However, it states 'You must provide a version' which contradicts the schema where version is optional (only 'query' is required), creating ambiguity about actual requirements.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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