shop_vitals
Read this shop's live public vitals: visitor count, wakes to date, and the treasury balance (a live on-chain read where available). Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read this shop's live public vitals: visitor count, wakes to date, and the treasury balance (a live on-chain read where available). Free.
| 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 behavioral burden and does add real context: it is a read-only operation, the data is live and public, the treasury figure is an on-chain read that may not always be available ('where available'), and there is no cost. Rate limits, freshness/caching, and failure behavior are not covered, keeping it below a 5.
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 that front-loads the action and resource, then lists the three outputs in a compact parenthetical. Every clause earns its place, including the availability caveat and the cost note.
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-param, no-output-schema tool the description usefully enumerates what comes back (visitor count, wakes to date, treasury balance) and flags the one conditional field, which compensates for the missing output schema. It stops short of describing data freshness or error behavior, but nothing essential to invoking the call is absent.
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 takes zero parameters, so there is no argument semantics to explain; this is the baseline 4 for a parameterless tool. The description appropriately spends its words on the returned fields instead.
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 (Read) and resource (this shop's live public vitals) and enumerates exactly what is returned: visitor count, wakes to date, treasury balance. None of the siblings (ask_cassandra, check_endpoint, get_terms, list_products) overlap with this metrics-read purpose, so an agent can identify it immediately.
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?
Usage is only implied: the zero-parameter signature and the 'Free' note make it obvious this is a cheap, always-safe call, but the description never states when to reach for it versus a sibling or whether any precondition is needed. No alternatives or exclusions are named.
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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