Get Analyst Estimates

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

Annotations already declare readOnlyHint=true, so the description doesn't need to cover safety. It adds the behavioral context of returning forward estimates with specific metrics. No contradictory or missing behavioral details, but doesn't discuss rate limits or performance.

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?

Two sentences, front-loaded with purpose and key details, immediately followed by usage guidance. No wasted words or redundant information. Perfectly concise for an AI agent.

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?

Given the output schema exists (not shown but implied), the description adequately covers the return content and period options. It doesn't mention pagination or error handling, but for a straightforward financial data tool, it is sufficiently complete.

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 description adds meaning beyond the schema by explaining that estimates include low/high/avg and analyst counts. Schema coverage is 100%, so baseline is 3; the description enriches it further with context about the returned data fields.

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 'Get forward analyst estimates for a company' and lists specific metrics (EPS, revenue, EBITDA, net income) with low/high/avg and analyst counts. It distinguishes from sibling tools like get_analyst_consensus by implying it provides detailed estimates rather than a single consensus figure, though not explicit.

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 includes a direct usage suggestion: 'Use when analyzing forward earnings expectations or revenue forecasts.' This gives clear context. However, it does not mention when not to use it or provide alternatives, which would be helpful given many sibling tools.

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