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

Annotations already cover readOnly/idempotent/no-destruction, so the bar is lower, yet the description still adds real value: EPS actuals are restated for splits and bonuses, and `meta.eps_adjustments` lists what was rescaled. It also mentions the `bands` low/high analyst range, giving the agent a sense of the response shape.

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?

A single dense paragraph, but it is front-loaded with the resource and metric scope before drilling into restatement behavior. Every sentence carries information; slightly long but not padded.

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?

With no output schema, the description compensates by explaining key return structures (`bands`, `meta.eps_adjustments`) and period coverage. The only gap is the lack of routing guidance versus siblings, which is minor for a straightforward read tool.

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 100% and the schema already documents symbol and its two aliases (ticker, identifier). The description adds nothing about parameter meaning or format, so the baseline 3 applies.

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?

States a specific verb and resource ('Get analyst forecasts') and enumerates the metrics covered (EPS, revenue, EBITDA, net income, ROA, ROE, price estimates) plus quarterly/annual periods. It is clearly distinct from report-oriented siblings like get_financials, though it never names an alternative explicitly.

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 closing line 'Useful for understanding market expectations and earnings surprises' implies the use case, but there is no when-to-use/when-not guidance and no pointer to complementary tools such as get_financials for reported (non-estimate) figures.

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