Opinions on a stock
stock_opinionsInfluencer opinions on one stock (ticker as listed, e.g. NVDA, 600938.SS), newest first, each with the other stocks in the same statement.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| ticker | Yes |
stock_opinionsInfluencer opinions on one stock (ticker as listed, e.g. NVDA, 600938.SS), newest first, each with the other stocks in the same statement.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| ticker | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description goes beyond them by disclosing result ordering ('newest first') and an unusual return trait ('each with the other stocks in the same statement'), which is genuinely useful since there is 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 front-loaded sentence with the resource stated first and ordering/content details after; no filler. The parenthetical example interrupts the flow slightly but carries real disambiguation value.
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 output schema, the description carries the return-format burden and does so for ordering and cross-stock content. The main gap is the undocumented 'limit' cap and any pagination behavior, but for a simple two-parameter read tool this is close to sufficient.
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. It does so for ticker by giving the expected format and examples (NVDA, 600938.SS), which adds value beyond maxLength=20. The 'limit' parameter (default 20, max 50) is never mentioned, leaving half the parameters undocumented.
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?
Names a specific resource (influencer opinions) scoped to one stock, with a concrete verb-like framing ('opinions on one stock'). The 'one stock' scope implicitly separates it from latest_opinions, though no sibling is named explicitly, so it falls short of full sibling differentiation.
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?
The scoping phrase 'on one stock' plus the required ticker implies usage when the agent has a specific symbol, and 'newest first' hints at a recency-list use case. However, there is no explicit when-to-use vs when-not, and no alternative tool (e.g. latest_opinions) is 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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