A simple tool that returns "Pong". Can be used to test connectivity and authentication to the MCP.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | The response message. |
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?
Annotations already declare readOnlyHint=true, and the description adds the concrete behavior of returning "Pong" plus its intended diagnostic use. This is sufficient for a trivial read-only tool, and there is no contradiction with annotations.
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 sentence that front-loads the core behavior and then states the use case. Every word earns its place with no fluff or redundancy.
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 zero-parameter, read-only ping tool with an output schema and clear annotations, the description covers everything an agent needs to decide whether to call it and what to expect. Nothing important 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?
The tool has zero parameters and the schema coverage is 100%, so there are no parameter semantics to document. The baseline of 4 applies because no parameter guidance is needed.
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 clearly states the tool returns "Pong" and can be used to test connectivity and authentication. This is specific enough to convey the tool's function, though it doesn't explicitly differentiate from siblings like whoami, which might also test authentication.
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?
It gives clear context for when to use the tool: to test connectivity and authentication to the MCP. It doesn't mention alternatives or exclusions, so it falls short of a full when/when-not comparison.
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 is scoped to a distinct resource/action area: media, palettes, projects, question banks, Riddles, templates, tags, stats, and support. Potentially close pairs like riddle_tag/riddle_tag_delete and question_bank_delete/question_bank_manage are cleanly separated by their descriptions, so an agent can reliably select the right one.
The naming is mostly consistent snake_case with strong resource prefixes like riddle_, question_bank_, and template_, followed by clear verbs. Minor deviations such as question_bank_item, riddle_tag, and stats_fetch break the strict verb-noun pattern but remain predictable once the convention is understood.
At 38 tools this is a heavy surface, though the breadth is justified by the many subdomains the server covers: media, palettes, projects, question banks, Riddles, templates, tags, and stats. Most tools earn their place, but the count sits above the range where an agent can quickly survey all options.
The set covers the full lifecycle for Riddles, question banks, templates, and tags, including publish/unpublish, move, stats, and media upload/delete. Minor gaps like no media library listing and read-only project settings are workable because media IDs come from upload responses and project permissions are exposed.