Project Intake Identifier
Server Details
Identify the project handle from an intake note
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Managed credentials
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Usage analytics
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Tool Definition Quality
Average 3.7/5 across 1 of 1 tools scored.
Only one tool exists, so there is no possibility of ambiguity between tools. The single tool is clearly distinct.
With a single tool, there is no inconsistency in naming. The name 'extract_project_code' follows a clear verb_noun pattern.
While the single tool is focused and non-trivial, the server's purpose might benefit from additional tools (e.g., validating or formatting the code), making it feel slightly thin.
The tool fully covers the server's stated purpose of identifying project handles from text, with no obvious gaps for its intended use.
Available Tools
1 toolextract_project_codeProject Intake IdentifierAInspect
Identifies the project handle inside client briefs, delivery notes, and review updates so account teams can route follow-up work to the right workspace.
| Name | Required | Description | Default |
|---|---|---|---|
| note | Yes | Client brief, delivery note, or project update text. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as return value format, error handling, side effects, or whether it is read-only. The description carries full burden but provides minimal transparency.
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 concise sentence with no wasted words, front-loading the core action and purpose.
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 no output schema, the description omits what the tool returns (e.g., project handle string, workspace ID). It adequately explains the tool's role in a workflow but lacks completeness for an extraction tool.
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% for the single parameter 'note', so the description adds no extra meaning beyond the schema. Baseline score of 3 is appropriate.
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 tool identifies a project handle from specified text types (client briefs, delivery notes, review updates) for routing purposes, providing a specific verb and resource with clear scope.
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?
While no sibling tools exist to differentiate, the description implies usage context (routing follow-up work) and the type of input texts, but lacks explicit when-to-use or when-not-to-use guidance.
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.
Control your server's listing on Glama, including description and metadata
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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.
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