Owl Score
get_owl_scoreOwlChart's 0 to 100 score for a coin with its verdict, price and state. A reading of conditions, not a trade call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| coin | Yes |
get_owl_scoreOwlChart's 0 to 100 score for a coin with its verdict, price and state. A reading of conditions, not a trade call.
| Name | Required | Description | Default |
|---|---|---|---|
| coin | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the description only needs to add context. It does add value by naming the return contents (score, verdict, price, state) and by clarifying the output is a condition reading rather than a trade signal, but it says nothing about freshness, data source, or failure behavior for an unknown coin.
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 short sentences with the substance front-loaded: what the score is and what comes with it, followed by the interpretive caveat. Nothing is wasted, though 'OwlChart's' branding is the least informative fragment.
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 one required parameter, no output schema, and no annotation detail beyond read-only/open-world, the description partially compensates by listing return fields. It is still incomplete on the one thing an agent must get right — the accepted format of the coin identifier.
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?
Schema description coverage is 0%, so the description carries the burden for the single 'coin' parameter. It only implies a coin is required ('for a coin') and gives no format guidance — symbol vs. name vs. internal id — which is exactly the ambiguity that causes mis-invocation.
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 states a specific resource (OwlChart's 0-100 score for a coin) and enumerates what it returns (verdict, price, state), so an agent can tell it apart from generic market tools like get_market_radar or get_ai_metric. It stops short of explicitly contrasting itself with the closest siblings, which keeps it at 4 rather than 5.
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 when-to-use guidance and no named alternative among the many sibling getters. The line 'A reading of conditions, not a trade call' sets interpretive expectations but does not tell an agent when to choose this over get_carv, get_ai_metric, or get_track_record.
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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