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agentspan-ai

MCP Test Server

by agentspan-ai

echo_types

Returns an object containing every JSON type, enabling validation of type handling in MCP protocol tests.

Instructions

Return an object containing all JSON types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

C2.9/5.0
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 behavioral burden. It only says it returns an object of all JSON types and discloses nothing about determinism, side effects, safety, or what "all JSON types" concretely includes. Output schema exists, but behavioral context remains thin.

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?

A single compact sentence with no waste, appropriately sized for a trivial echo tool. It is front-loaded but arguably under-specifies rather than over-explains.

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

Completeness3/5

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

An output schema exists, so return values need not be explained, and there are no parameters to cover. Still, for a tool whose entire purpose is demonstrating "all JSON types," the description leaves the concrete content ambiguous relative to sibling echo tools.

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?

The tool takes zero parameters, so there is nothing to document and no schema gap to compensate for. Baseline of 4 applies for a parameterless definition.

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?

States a specific verb ("Return") and a resource ("an object containing all JSON types"), so the general intent is inferable. However, it does not distinguish itself from the many sibling echo tools (echo, echo_nested, echo_schema, echo_multiple), and "all JSON types" is vague enough that an agent cannot confidently tell what this returns versus echo_schema.

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?

There is no when-to-use guidance, no mention of prerequisites or alternatives, and no hint about how this differs from the other echo variants. The agent must guess the selection condition entirely.

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