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Generate dummy JSON URL

generate_dummy_response
Read-onlyIdempotent

Return a live URL on https://mcp.httpstatus.com serving placeholder JSON (user, users, product, products, todo, error) plus an inline sample. Plural kinds accept count (max 50).

Input Schema

NameRequiredDescriptionDefault
kindYes
countNoNumber of items for users/products/todo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description still adds real behavior beyond them: the URL is live and hosted on mcp.httpstatus.com, and the response also includes an inline sample, which matters because no output schema exists.

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?

Two tightly packed sentences with no filler; the returned resource and host are front-loaded before the kind enumeration and count constraint.

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

Completeness5/5

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

For a simple two-parameter generator with no output schema, the description covers the return value (live URL plus inline sample), the kind vocabulary, and the count bound. Nothing an agent needs to invoke it correctly is missing.

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

Parameters4/5

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

Schema coverage is 50% and the description compensates by enumerating all six kind values and stating the count cap. It also says count applies only to plural kinds, which slightly diverges from the schema's 'users/products/todo' wording and could make an agent skip count for 'todo'.

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?

States a concrete verb and resource: it returns a live URL serving placeholder JSON, and it enumerates the six supported kinds. An agent understands the artifact produced, though nothing explicitly distinguishes it from the sibling generate_status_url.

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

Usage Guidelines3/5

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

Usage is only implied by the resource ('placeholder JSON'), with no statement of when to prefer this over generate_status_url or the other URL-producing siblings. No prerequisites or exclusions are given.

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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