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Noveum

API-Market MCP Server

by Noveum

Get_coder_output_URL

Retrieve the URL of a coding assistant's response by providing the unique request ID. This endpoint enables easy access to generated code outputs for further use or review.

Instructions

This endpoint retrieves the URL of the coding assistant's response for a given request ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYesUnique identifier for the request.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states the tool 'retrieves' a URL, implying a read-only operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what the URL contains (e.g., temporary vs. permanent). This leaves significant gaps for an agent to use it effectively.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that efficiently conveys the core purpose without any wasted words. It's front-loaded and appropriately sized for a simple tool, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the retrieved URL is used for, its format, or any post-retrieval steps. For a tool with no structured context, this leaves the agent with insufficient information to handle the tool's output or integration.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, with the 'request_id' parameter documented as a 'Unique identifier for the request.' The description adds no additional meaning beyond this, such as format examples or source context. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't need to.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('retrieves') and resource ('URL of the coding assistant's response'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'Coding_Assistant' or 'Result', which might have overlapping functionality, so it doesn't reach the highest score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as whether it's for async results, follow-up queries, or specific contexts. It mentions a 'request ID' but doesn't explain prerequisites or relationships with other tools, leaving usage unclear.

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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