Skip to main content
Glama
NimbleBrainInc

MCP Echo Service

echo_json

Echo back JSON data for validation and analysis. Send structured JSON to receive an echo response with data insights.

Instructions

Echo back structured JSON data with validation and analysis.

Args: data: The JSON data to echo back ctx: MCP context

Returns: Echo response with data analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
original_dataYesThe original JSON data sent
echoed_dataYesThe echoed JSON data
analysisYesAnalysis of the data structure
timestampYesISO 8601 timestamp of the operation
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It mentions validation and analysis but does not specify what those entail, nor does it state whether the tool is read-only or has side effects.

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 brief with a single sentence and an Args/Returns section. It is front-loaded with the primary purpose, though the Args section adds minimal value.

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?

Given the simple single-parameter tool and the existence of an output schema, the description is adequate but lacks details on validation/analysis specifics. It does not explain the output format beyond 'Echo response with data analysis.'

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

Parameters2/5

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

Schema description coverage is 0%, yet the description only restates the parameter name and type from the schema ('The JSON data to echo back'). It adds no additional semantic detail about structure or constraints.

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

Purpose5/5

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

The description clearly states it echoes back structured JSON data with validation and analysis. It distinguishes itself from sibling tools 'echo_message' and 'echo_with_delay' by focusing on JSON handling.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention context, prerequisites, or exclusions.

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

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/NimbleBrainInc/mcp-echo'

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