get_market_narratives
Return top crypto market narratives with strength, momentum, and price divergence signals.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Return top crypto market narratives with strength, momentum, and price divergence signals.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
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?
Annotations already declare readOnlyHint and openWorldHint, indicating a safe read operation with dynamic data. The description adds details about return fields but omits any behavioral traits like data freshness, pagination, or size limits.
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?
The description is a single sentence that is direct and front-loaded. Every word is significant, and there is no fluff.
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?
Given the simple schema (one optional parameter) and no output schema, the description is insufficient. It does not explain the structure of the returned data, what 'strength, momentum, and price divergence signals' mean, or how the narratives are ranked as 'top.'
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 must compensate, but it fails to mention the only parameter 'limit' or its effect. The agent has no guidance on how the limit parameter controls output.
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 tool returns top crypto market narratives with strength, momentum, and price divergence signals. However, it does not define what constitutes a 'narrative,' and the siblings suggest differentiation but no explicit contrast is made.
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 guidance is provided on when to use this tool versus the siblings (get_clean_feed, vet_trade). The description lacks context for selecting this tool over alternatives.
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.
Each tool has a clearly distinct purpose: fetching articles, getting market narratives, and vetting a trade. There is no overlap in functionality.
All tools use snake_case with a consistent verb_noun pattern (get_clean_feed, get_market_narratives, vet_trade), making the naming predictable.
With only 3 tools, the server feels slightly under-scoped but still reasonable for a specialized narrative analysis service.
The tools cover core analysis tasks but lack features like listing available topics or exploring narrative details, leaving some workflow gaps.