Reporting Export Assembler
Server Details
Assemble a reporting export row
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.5/5 across 1 of 1 tools scored.
Only one tool exists, so there is no risk of ambiguity between tools.
Single tool has a clear verb_noun pattern, consistent with itself.
One tool is too few for a server claiming to be a reporting export assembler, which typically involves multiple operations.
The server only builds a CSV export row, lacking essential tools for schema definition, data retrieval, export configuration, or other formats.
Available Tools
1 toolbuild_csv_export_rowReporting Export AssemblerAInspect
Assembles a reporting export row from an approved field value for customer operations, finance, or account-summary workflows.
| Name | Required | Description | Default |
|---|---|---|---|
| cell_value | Yes | Approved field value to place into the reporting export row. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It does not disclose behavioral traits such as whether the tool is read-only, modifies state, or requires authentication. Only states it 'assembles' a row.
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?
Single sentence with no wasted words. Concise and to the point.
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 has one parameter and no output schema or annotations, the description is minimal. It does not explain what an 'approved field value' is or provide completion details.
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% (cell_value described). The tool description adds the context 'approved field value' and workflow mentions, but does not significantly expand on the schema description.
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?
Description clearly states it assembles a reporting export row from an approved field value, and lists specific workflows (customer operations, finance, account-summary). No siblings to differentiate, so purpose is 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?
No explicit guidance on when to use vs alternatives, no exclusions. Usage is implied by the listed workflows but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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{
"$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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