Echo
echoEchoes the provided text back to the caller.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to echo back |
echoEchoes the provided text back to the caller.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to echo back |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral burden. It clearly states the tool returns the input unchanged and implies no side effects, though it does not explicitly say it is read-only or idempotent. For a simple echo utility, this is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short, front-loaded sentence with no filler, redundancy, or unnecessary detail. Every word contributes to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter, no-output-schema tool with no annotations, this description covers the purpose, input, and return value completely. 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.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema already explains 'text' as the text to echo back. The description's phrase 'provided text' adds no new meaning beyond what the schema provides, so it remains at the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Echoes' and clearly identifies the resource: the provided text, returned back to the caller. It unambiguously distinguishes this tool from the sibling tools add and server_time.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the obvious use case—reflect text back to the caller—but gives no explicit when-to-use guidance or comparison with alternatives. For a trivial tool with unrelated siblings, this is adequate but not instructive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool performs a wholly distinct operation—arithmetic, echoing, and time retrieval—so an agent can clearly tell them apart without any overlap or ambiguity.
The names mix verb forms (add, echo) with a noun phrase (server_time), and while all are lowercase and readable, there is no consistent structural pattern or shared convention.
Three tools is a reasonable count for a small utility server, but the server name DomainCheckr implies domain-related functionality that these tools do not provide, making the number feel disconnected from the apparent purpose.
Given the server name suggests domain checking, the absence of any domain-related operations is a severe gap. The set has no coherent domain coverage and appears random.