Skip to main content
Glama
Noveum

API-Market MCP Server

by Noveum

BridgeML_API

Enable seamless text generation by sending POST requests to the BridgeML API on the API-Market MCP Server. Process user and assistant messages, adjust parameters like temperature and max_tokens, and generate natural language responses for dynamic applications.

Instructions

Make a POST request to bridgeml/codellama/bridgeml/codellama

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frequency_penaltyNoFrequency penalty value
max_tokensNoMaximum number of tokens to generate
messagesNoList of messages
streamNoFlag indicating if response should be streamed
temperatureNoTemperature for text generation
top_pNoTop P sampling value
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. The description only mentions making a POST request without explaining what the API does, what kind of response to expect, whether it's idempotent, rate limits, authentication requirements, or error conditions. For a tool with 6 parameters and no output schema, this is completely inadequate behavioral transparency.

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

Conciseness2/5

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

While technically concise (one sentence), this is a case of under-specification rather than effective conciseness. The single sentence doesn't earn its place by providing meaningful information - it merely restates the endpoint path. Good conciseness balances brevity with information density; this has brevity without substance.

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

Completeness1/5

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

Given the tool's complexity (6 parameters, no annotations, no output schema, 35 sibling tools), the description is completely inadequate. It doesn't explain what the tool does, when to use it, what behavior to expect, or what the response contains. For an API call tool with multiple configuration parameters, this minimal description leaves the agent guessing about fundamental aspects of the tool's purpose and operation.

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?

Schema description coverage is 100%, so all parameters are documented in the schema itself. The description adds zero information about parameters beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description. The description doesn't compensate or add value, but doesn't detract either.

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

Purpose1/5

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

The description 'Make a POST request to bridgeml/codellama/bridgeml/codellama' is a tautology that merely restates the tool name 'BridgeML_API' in different words. It doesn't explain what the tool actually does (e.g., generate text using CodeLlama model, process code completions, etc.). No specific verb+resource combination is provided, and it doesn't distinguish this tool from its many siblings on the server.

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

Usage Guidelines1/5

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

The description provides zero guidance on when to use this tool versus alternatives. With 35 sibling tools on the server including 'Coding_Assistant' and other text/API tools, there's no indication of what problem this tool solves, what context it's appropriate for, or what alternatives might exist. The agent receives no usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Noveum/api-market-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server