analyst_recommendations

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It conveys a read-only operation through 'Get' and enumerates the returned data categories. However, it does not mention data source, freshness, coverage limitations, or potential errors, which are meaningful gaps for a market-data tool.

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: a clear one-line purpose, a concise bullet list of outputs, and a dedicated parameter explanation. No sentence is wasted, and the most important information is 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?

For a low-complexity tool with one parameter and an output schema, the description is largely complete. It covers what the tool does, what data it returns, and how to specify the ticker. It lacks explicit alternative routing and behavioral caveats, but these are not critical for basic invocation.

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%, but the description compensates with an Args section defining ticker as an 'Indian stock ticker symbol' and providing examples. This adds meaning beyond the bare schema property. It could be more precise about exchange suffixes or case, but it is sufficient for correct invocation.

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 uses a specific verb and resource: 'Get analyst recommendations and price targets for an Indian stock.' It also lists concrete output categories (consensus, price targets, analyst count, recent changes), making the tool's function clear. It does not explicitly differentiate from sibling tools, but the domain is distinct enough to avoid major confusion.

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 clearly states the context: use it for analyst sentiment and price targets on Indian stocks. It provides example tickers and implies the tool is appropriate when professional market sentiment is needed. It does not mention alternatives or exclusions, but the usage context is clear.

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