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SergiFuster

MCP Custom Tools Server

by SergiFuster

http_request

Send HTTP requests to any URL with configurable methods, headers, data, and timeout settings. Supports GET, POST, PUT, DELETE, HEAD, OPTIONS, and PATCH methods for web operations.

Instructions

Realizar petición HTTP a una URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL de destino
methodNoMétodo HTTPGET
headersNoHeaders de la petición
dataNoDatos a enviar (JSON object o string)
timeoutNoTimeout en segundos
Behavior2/5

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. 'Realizar petición HTTP' implies network interaction but doesn't mention important behavioral aspects: whether it follows redirects, handles authentication, manages cookies, supports different content types beyond JSON/string, or what happens on errors/timeouts. For a network tool with zero annotation coverage, this leaves critical behavior undocumented.

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

Conciseness4/5

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

The description is extremely concise - a single Spanish phrase that directly states the tool's function. There's no wasted verbiage or unnecessary elaboration. However, this brevity comes at the cost of completeness, making it more under-specified than optimally concise.

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?

For a complex HTTP request tool with 5 parameters, no annotations, and no output schema, the description is severely incomplete. It doesn't explain what the tool returns (status codes, response body, headers, errors), doesn't mention authentication requirements, rate limits, or network behavior. The agent would need to guess critical aspects of how this tool behaves and what results to expect.

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 the schema already documents all 5 parameters thoroughly with descriptions, defaults, enums, and constraints. The description adds no additional parameter semantics beyond what's in the schema. According to guidelines, when schema coverage is high (>80%), the baseline is 3 even with no param info in description.

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

Purpose3/5

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

The description 'Realizar petición HTTP a una URL' clearly states the action (make HTTP request) and target (a URL), which is better than a tautology. However, it's quite generic and doesn't distinguish this from what might be expected from any HTTP client tool. It lacks specificity about what makes this particular implementation unique or how it differs from sibling tools that also handle URLs (like parse_url, validate_url, build_url, or url_encode_decode).

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. With sibling tools like build_url, parse_url, validate_url, and url_encode_decode that also handle URL-related operations, there's no indication that this is the primary tool for making actual HTTP requests while others are for URL manipulation. No context about prerequisites, limitations, or typical use cases is mentioned.

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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