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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context beyond those: the source filings (8-K item 2.02 / 6-K), the verification against filing text, the arbitrating role, shallow depth by construction, coverage starting late July 2026, and the scale-null edge case. No contradiction with annotations; the informational disclaimer aligns with the read-only intent.

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 longer than average, but every sentence earns its place by adding behavioral or usage-critical context. It is front-loaded with the core purpose and then layers source, content, routing, edge cases, and disclaimer. It could be tightened slightly by trimming the detailed enumeration of metrics, but the overall structure is purposeful and 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?

Given that an output schema exists (so return values do not need to be spelled out) and the tool takes only one parameter, the description is complete for safe and correct invocation. It explains data availability ('most tickers carry one or two reads'), expected ordering ('newest first'), the meaning of empty lists, and the tool's relationship to alphai_tickers. Nothing needed for an agent to decide when and how to call it is missing.

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 coverage is 100%: the single 'ticker' parameter is already described with a pattern, maxLength, and example 'NVDA'. The description does not add new parameter-level semantics beyond what the schema provides. Since schema coverage is high, the baseline of 3 applies; the tool description focuses on output behavior rather than input details, which is acceptable.

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 states a specific verb and resource: 'AlphAI's own structured read of a company's earnings reports, newest first, plus its next confirmed report date.' It clearly differentiates from sibling feed tools by stating 'the feed tools return articles ABOUT a quarter, this returns the filing's own numbers.' The role of being the arbiter for contested figures further nails down what this tool uniquely provides.

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 gives explicit when-to-use guidance: 'This is the tool to reach for after alphai_tickers gives you a next_report_date.' It names the alternative category (feed tools) and explains why this tool is preferable when filing-level numbers are needed. It also sets expectations that empty results are normal, preventing false negative interpretation.

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