Qt Documentation
Server Details
Search Qt 6 API and product docs (Qt Core, Qt Quick, Qt Creator, Boot to Qt, MCUs).
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
2 toolsqt_documentation_readAInspect
Read the full content of a specific Qt documentation page. Use the filename shown in search results.
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes | Filename of the Qt documentation page. Use ONLY the filename from search results (e.g., 'signalsandslots.html' NOT full paths with version numbers). Module paths like 'qtcore/qobject.html' also work. | |
| version | No | Optional: Qt version to read from (e.g., '6.10.0', '6.9.0'). Defaults to latest installed version if not specified. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It states 'Read the full content' but does not disclose output format, error behavior (e.g., file not found), pagination, or any limitations. It is a basic read operation with no destructive behavior, but the description adds no behavioral detail beyond 'read full content', making it minimally transparent but not misleading.
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 short sentences, with the primary action front-loaded. It contains no fluff and every sentence earns its place: the first states the purpose, the second gives critical usage instruction. It is highly concise and well-structured.
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 tool's simplicity (2 parameters, no output schema, one sibling), the description is mostly complete: it tells what it does and how to use it. However, it omits any mention of return value format or error handling, which would be expected in a more complete description. Still, for agent selection and invocation, it covers the essential context.
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% and the description reinforces parameter semantics by explicitly instructing to use ONLY the filename from search results and not full paths. This caution goes beyond the schema's description by preventing common mistakes, adding genuine value over schema alone.
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 'Read' with a clear resource 'full content of a specific Qt documentation page' and instructs to use the filename from search results, which distinguishes it from the sibling 'qt_documentation_search' (search vs read). It is precise and unambiguous.
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 explicitly says to use the filename shown in search results, providing clear context that this tool is for reading pages after searching. It implies the workflow of search-then-read, though it doesn't explicitly state alternatives or when not to use it. This is sufficient guidance for the simple sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
qt_documentation_searchBInspect
Call qt_documentation_search when: (a) you're about to claim a signal/slot/property/default exists, (b) the API is in Qt 6.7+ or a non-core module (MQTT, OPC UA, Network Auth, etc), (c) the user used the words 'docs', 'official', 'verify', or 'check'. Skip when: the question is about basic QString/QObject/signal-slot syntax.
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Search query for Qt documentation (e.g., 'Animation', 'QTimer', 'signal slot'). Optional if 'keywords' is provided. | |
| filter | No | Optional: Filter by document type. Default is 'all'. Note: 'function' returns the class reference page that contains the function (there are no function-level pages); for QML, use 'qml'. | |
| intent | No | Optional: Prioritizes (not filters) results by type. 'api'=class reference, 'tutorial'=how-to guides, 'guide'=overviews, 'concept'=explanations, 'example'=code samples, 'migration'=porting guides. | |
| module | No | Optional: Limit search to specific Qt module (e.g., 'qtcore', 'qtwidgets', 'qtqml', 'qtquick', 'qtnetwork') | |
| product | No | Optional: Limit search to a specific documentation product (e.g. 'qt', 'qtcreator', 'pyside6'). Omit to search all products. | |
| version | No | Optional: Qt version to search (e.g., '6.10.0', '6.9.0'). Defaults to latest installed version if not specified. | |
| keywords | No | Optional: Array of keywords to search for. Results match ANY keyword. Example: ["button", "signal", "connect"]. Alternative to 'query' for better multi-term matching. | |
| max_results | No | Optional: Maximum number of results to return (1-10). Default is 3. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only explains when to use the tool, not what the tool actually does (e.g., returns a list of documentation pages, performs exact or fuzzy matching, network access). It does not mention the return format, pagination, or any side effects. This is a significant gap for an AI agent needing to know what to expect.
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 a single structured sentence with clear (a), (b), (c) conditions and a skip clause. It is efficient and front-loaded with the action trigger. It loses a point for being a bit dense with multiple conditions, but overall it is concise and well-organized.
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 8 parameters, no output schema, and no annotations, the description needs to explain what the tool returns and how the results should be interpreted. It does not. The usage triggers are useful but incomplete for a search tool—there is no mention of return values, result ordering, or how to use the output for verification. This is a clear gap.
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 100%, and the parameter descriptions are detailed (e.g., 'filter' enum explains that 'function' returns the class reference page containing the function). The tool description itself adds no additional parameter semantics beyond the schema. Baseline 3 is appropriate since the schema does the heavy lifting.
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 tool name 'qt_documentation_search' clearly implies the action of searching Qt documentation, and the description provides specific triggers (e.g., 'when you're about to claim a signal/slot/property/default exists'). However, the description never explicitly states 'Searches Qt documentation' as a function, relying on the name and schema. The conditions help differentiate from the sibling qt_documentation_read, but not explicitly.
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 gives explicit when-to-use conditions (a, b, c) and a skip condition ('Skip when: the question is about basic QString/QObject/signal-slot syntax'). This is strong usage guidance. However, it does not name the sibling tool qt_documentation_read as an alternative for reading full documentation pages, so it lacks the direct alternative recommendation that would merit a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
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.
Discussions
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TDQS
The two tools have clearly distinct purposes: one searches documentation and the other reads a page's content. There is no overlap or confusion.
Both tool names follow the consistent pattern 'qt_documentation_' followed by a verb ('read' and 'search'), adhering to verb_noun style.
With only 2 tools, the server feels slightly thin for a documentation domain, but the tools cover the basic workflows of searching and reading, earning a borderline score.
The server lacks tools for listing categories, browsing modules, or navigating to specific sections, which are notable gaps for a documentation service. However, the search and read workflow covers the core tasks.