Day summary
day_summaryOne calendar day of the feed in a time zone: number of opinions, bullish and bearish calls, five most-discussed stocks.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | YYYY-MM-DD | |
| timeZone | No | UTC |
day_summaryOne calendar day of the feed in a time zone: number of opinions, bullish and bearish calls, five most-discussed stocks.
| Name | Required | Description | Default |
|---|---|---|---|
| date | Yes | YYYY-MM-DD | |
| timeZone | No | UTC |
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 the safety profile is covered. The description adds return-content context (counts, bullish/bearish breakdown, five most-discussed stocks), which is genuinely useful since there is no output schema. It says nothing about rate limits, data recency/lag, or behavior when the date has no data, so it stops at adequate.
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 dense sentence that front-loads the scope ('one calendar day of the feed in a time zone') before enumerating the returned fields. Every clause carries information; there is no filler, hedging, or restatement of the title.
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 correctly takes on the burden of describing return contents, and does so concretely. The main residual gaps are the format of the 'five most-discussed stocks' entries and the no-data/empty-day behavior, which are minor for a read-only aggregate.
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 coverage is 50%: 'date' is documented as YYYY-MM-DD, but 'timeZone' has only a UTC default and no description. The phrase 'in a time zone' clarifies that the aggregation window is zone-dependent and that timeZone affects day boundaries, adding some meaning beyond the schema. With half the parameters undocumented in the schema, this is baseline-but-not-compensating.
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 the specific resource and scope: one calendar day of the feed, returning opinion counts, bullish/bearish calls, and top five discussed stocks. It is a noun phrase rather than a verb-first statement, but an agent can tell this is an aggregated daily-summary read distinct from per-opinion siblings like latest_opinions or stock_opinions. It does not explicitly name a sibling to differentiate against, keeping it short of a 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, no exclusions, and no mention of alternatives such as latest_opinions or stock_opinions for finer-grained queries. The intended use (daily rollup) is only implied by the word 'summary' and the date parameter. Nothing tells the agent when this tool is preferred over the many sibling tools.
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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