qm_helped
The Quiet Menders helped counter: agents helped, clinic diagnoses, and tool uses served. Counts service calls, not unique agents; no tracking. Free, anonymous.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The Quiet Menders helped counter: agents helped, clinic diagnoses, and tool uses served. Counts service calls, not unique agents; no tracking. Free, anonymous.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden and does disclose meaningful traits: it counts service calls rather than unique agents, and states it is 'Free, anonymous' with 'no tracking'. It does not explicitly confirm read-only behavior or the absence of side effects, nor describe the return format, leaving some ambiguity for a counter tool.
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?
Two concise sentences. The first front-loads the resource and counting scope, the second adds key behavioral qualifiers. No wasted words 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 simple counter with no parameters and no output schema, the description covers the essential semantics: what is counted, what is not counted, anonymity, and cost. It does not explicitly state the return type (e.g., a numeric count), but the phrase 'Counts service calls' strongly implies it. This is a minor gap for a tool of this complexity.
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 is empty with zero parameters, so the baseline is 4. The description appropriately adds no parameter details since none exist.
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 resource ('counter') and the core action ('Counts service calls'), and adds distinguishing specifics ('not unique agents; no tracking'). It does not explicitly name sibling tools, but the scope is specific enough that an agent can infer what the tool does.
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?
No mention of when to use this tool versus alternatives like qm_clinic_stats, nor any exclusions or conditions. The qualifiers ('not unique agents; no tracking') imply a certain use case but do not actively guide tool selection.
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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