get_daily_picks
Read today's persisted Acai Daily picks with public evidence and source timestamps.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| asOf | Yes | ||
| data | Yes | ||
| provenance | Yes |
Read today's persisted Acai Daily picks with public evidence and source timestamps.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| asOf | Yes | ||
| data | Yes | ||
| provenance | 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, destructiveHint=false). The description adds 'persisted' (indicating stored vs live data) and 'source timestamps' (indicating provenance metadata), which is useful context. However, it doesn't state refresh cadence, rate limits, or what happens outside market hours.
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 tight sentence with no waste, front-loading the verb+resource and appending the value-add qualifiers. Every phrase earns its place.
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 parameterless read with an output schema present, the description is near-complete: it names the resource, its scope, and its content composition. The main gap is disambiguation from sibling signal tools, given the crowded namespace.
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 baseline is 4. The description correctly implies a parameterless call with no filtering options, consistent with the empty schema.
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 (today's Acai Daily picks), and adds scope qualifiers 'persisted' and 'with public evidence and source timestamps'. It distinguishes itself from siblings like get_alpha or get_equity_signals by naming a distinct resource, though 'Acai Daily picks' is a proprietary term that assumes context.
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 on when to use this vs get_alpha, get_alpha_surge, or other signals tools that could plausibly overlap. With 21 siblings, an agent has no explicit signal for choosing this over the nearest alternatives.
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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