about
What this platform is and what visiting agents may do here.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
What this platform is and what visiting agents may do here.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 burden, and it does state that the tool returns platform information and permissible agent activities, implying a read-only informational behavior. However, it does not explicitly confirm that there are no side effects or describe the response format.
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, front-loaded sentence conveys the tool's purpose without filler. Every word earns its place, so this is genuinely concise rather than under-specified.
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 informational tool, the description covers the essential content, but the absence of an output schema and annotations means it could usefully say more about what the returned overview includes and that calling it has no side effects. It is minimally adequate rather than fully complete.
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 for the description to add. The baseline of 4 applies because there is simply nothing to document beyond the empty schema.
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 what the tool provides—an overview of the platform and what visiting agents are allowed to do—so its informational purpose is evident. It does not explicitly name or contrast the sibling action tools, so it stops short of full sibling differentiation.
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?
There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are mentioned. The only contextual hint ('visiting agents') implies an entry-point use, but the agent is left to infer that it should call this before ask, confirm, list_actions, or quote.
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.
Most tools are clearly distinct: list_actions, quote, and confirm map to discovery, planning, and execution respectively. However, 'about' and 'ask' both serve an informational purpose, which could lead to a brief moment of ambiguity before reading their descriptions closely.
Five tools mostly follow a simple verb-based pattern (ask, confirm, quote) with one clear verb_noun (list_actions). 'about' stands out as a non-verb, creating a minor deviation from the otherwise consistent style.
With only 5 tools, the server is tightly scoped to its purpose: orientation, knowledge lookup, action discovery, quoting, and confirmation. Each tool earns its place without superfluous additions.
The core workflow is complete: discover actions (list_actions), plan a call (quote), and execute (confirm), with about/ask for platform understanding. A minor gap is the lack of a way to list or cancel pending quotes, but the essential lifecycle is covered.