Get Market Ticker
get_tickerMarket snapshot: crypto top 5, AI stocks, and metrics, with the snapshot timestamp.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_tickerMarket snapshot: crypto top 5, AI stocks, and metrics, with the snapshot timestamp.
| 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?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds a modest amount — it states what the payload contains and that a snapshot timestamp is included (useful freshness signal) — but says nothing about ordering, refresh cadence, or how many metrics are returned, which matters most given no output schema.
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 short clause with the resource and its contents front-loaded, zero filler, nothing repeated from the title or annotations.
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?
With no parameters, no output schema and full annotation coverage, the only real burden is telling the agent what comes back — crypto top 5, AI stocks, metrics, timestamp — which it does. It is only slightly thin on response shape/ordering, which is forgivable for a fixed snapshot.
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?
Zero parameters, so there is nothing parameter-side to explain and the baseline applies. The description correctly does not waste words on arguments.
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 names a concrete resource (market snapshot) and enumerates its contents — crypto top 5, AI stocks, metrics, plus a timestamp — which is enough to distinguish it from the article/scoreboard siblings. The verb is implicit (it's a fetch of a snapshot), so it stops just short of the 'specific verb + resource' bar.
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: an agent infers 'call this when you need a current market overview.' There is no explicit when-to-use, no exclusion versus get_scoreboard or get_latest, and no note that it takes no filters, so the agent must reason from the content list.
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.