get_morning_brief

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does well by revealing the output format ('Returns structured JSON + morning_text') and the fact that it compiles multiple data points into a single call. It does not mention errors, caching, or data latency beyond the 'yesterday' reference, but for a read-only brief this is sufficient.

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 concise and well-structured: a one-line purpose statement followed by a clear bullet list of included components. Every bullet adds value and the whole is under 120 words. There is no redundancy or filler.

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 tool with no parameters and an output schema, the description is remarkably complete. It enumerates all eight data categories included in the brief and describes the return format. Given the output schema exists to define the exact JSON structure, the description provides sufficient context for an agent to select and invoke the tool correctly.

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?

The tool has zero parameters, and the schema description coverage is 100% (trivially, as there are no parameters). Per the rubric, a zero-parameter tool receives a baseline of 4. The description adds no parameter-specific detail because none exists, which is appropriate.

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's purpose: '8:15 AM pre-market brief for Indian traders.' It provides a specific verb ('compiles') and resource (pre-market brief), and lists eight concrete components (GIFT Nifty, India VIX, FII flows, etc.). This distinguishes it from most siblings, such as get_morning_fno_brief, by emphasizing a broader market brief.

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 description implies usage context: '8:15 AM pre-market brief' signals that this is intended for a specific time and purpose. It does not explicitly state when not to use it or name alternatives, but the clear pre-market framing gives adequate guidance for selection among 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.