hello
Generate a warm greeting message tailored to any provided name.
Instructions
Return a friendly greeting for the provided name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to greet | Mahesh |
Generate a warm greeting message tailored to any provided name.
Return a friendly greeting for the provided name.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to greet | Mahesh |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description alone conveys the tool's behavior. 'Return a friendly greeting' fully discloses a pure, side-effect-free operation; there is no hidden state change, authentication, or rate limiting. Nothing more is needed.
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 a single, front-loaded sentence with zero filler words. Every word earns its place.
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?
The tool is extremely simple with one optional parameter and no output schema. The description adequately explains the action, and the missing return value format is a minor detail that the agent can infer. A 4 reflects the slight uncertainty about the exact greeting phrasing.
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% (the property already has a description, default, and type). The description only restates 'provided name' without adding extra meaning, so the baseline of 3 is appropriate.
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 states the exact verb ('Return') and resource ('a friendly greeting'), with the input scope ('for the provided name'). It is entirely unambiguous and distinguishes itself from the unrelated sibling tool github_user_stats.
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 clearly implies usage: call this when you need a greeting for a given name. There are no alternatives or exclusions, but for such a simple tool the context is self-evident, earning a 4 rather than a 3.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Maheshkumarjena/GithubStats_MCP'
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