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?
No annotations exist, so the description carries the full burden. It clearly conveys the core behavior and result, implying no state change. However, it does not explicitly address formatting, length limits, or edge cases, leaving a minor transparency gap.
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?
A single sentence front-loads the action and result with zero filler. Every word contributes to understanding the tool.
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 echo tool with no output schema, the description fully suffices: it tells the agent what the tool does and what it returns. No additional context is necessary.
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?
The input schema already documents the single 'text' parameter with 100% coverage. The description adds no meaning beyond what the schema provides, so baseline 3 applies.
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?
States a specific verb ('Echoes'), a resource ('the provided text'), and a destination ('back to the caller'). Clearly distinguishable from 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 tool is for repeating text back, but it offers no explicit when-to-use guidance, alternatives, or exclusions. For a trivial tool the context is self-evident, but no direct usage guidance is provided.
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 clearly distinct operation: arithmetic addition, text echoing, and time retrieval. There is no overlap or ambiguity between them.
Naming is inconsistent: 'add' and 'echo' are imperative verbs, while 'server_time' uses a noun_underscore pattern. There is no unifying verb_noun or resource-based convention.
Three tools is a reasonable small count, but the tools are unrelated and do not form a cohesive service. The count feels arbitrary rather than purposefully scoped.
There is no clear domain or common purpose—'webEmbedding' suggests perhaps embedding functionality, but the tools are unrelated utilities. No coherent workflow can be inferred, making completeness impossible to satisfy.