get_nifty_outlook

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

With no annotations, the description fully discloses the tool's behavior: it aggregates six specified signals, returns a probability and supporting factors, and provides raw inputs. It does not mention latency or failure conditions, but for a read-only, parameterless tool, the transparency is thorough.

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 well-structured with a clear lead sentence, bullet points for signals, and an example. It is slightly verbose in signal explanations but remains focused and front-loaded.

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?

Description fully accounts for no parameters, provides complete output schema details (fields and example), and explains all six signals. The tool's behavior is fully specified given its simplicity and available structured information.

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?

There are zero parameters, so the baseline score is 4. The description does not need to add parameter semantics, and it correctly omits any parameter discussion.

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 that the tool computes the probability of Nifty 50 closing up in the next session by aggregating six market signals. This specific verb-resource combination ('get nifty outlook') differentiates it from sibling tools like gift_nifty, nifty_index, or individual signal tools.

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 explicit guidance is provided on when to use this tool versus its many siblings (e.g., gift_nifty, nifty_pcr_trend, get_signal_accuracy). The description does not indicate scenarios where this aggregated outlook is preferred over individual signal analysis.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.