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get_morning_brief

Read-onlyIdempotent

The stock market read in one payload: regime verdict per book, today's top 3 ranked buy candidates, the biggest gainers and losers, the BTC/ETH crypto trend-gate state and a sample of the awareness read (the top 3 leaders and coiled setups, sector money flows in/out, coverage). Free sample: top 3 per list, headline fields, one market day delayed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent and non-destructive, so safety is covered. The description adds real behavioral context beyond them: it is a free sample capped at top 3 per list with headline fields only, and it is delayed by one market day. That sets expectations about freshness and completeness that the annotations do not.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is front-loaded ('The stock market read in one payload') and information-dense, with the sample limitation placed last. It is a long run-on first sentence but nearly every clause enumerates a distinct returned section, so it earns its length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no parameters, so the description bears the burden of describing the return contents, which it does thoroughly by naming each section of the brief. The only gap is the lack of routing to the live counterpart.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics to document and the baseline is 4. No schema-level meaning is left unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the concrete payload contents (regime verdict per book, top 3 buy candidates, gainers/losers, BTC/ETH trend-gate, awareness sample), which clearly conveys the resource. However, it never names the sibling get_morning_brief_live, so an agent must infer the distinction between this and the live variant from the 'free sample' phrasing alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Free sample' and 'one market day delayed' notes hint that a fuller/real-time alternative exists, but the description gives no explicit when-to-use guidance and does not name the live sibling as the alternative. Selection between this and get_morning_brief_live is left entirely to inference.

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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