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

Annotations already cover the safety profile (readOnlyHint, destructiveHint=false). The description adds genuine context beyond them: the data source ('validated stored SEC release facts') and the return cap ('up to eight reports with original release links and dates'). No auth or rate-limit detail, but the added provenance and cap are meaningful.

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 dense sentences with zero waste; the data scope and provenance come first and the exclusion list follows. Every clause earns its place.

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 carries the return burden and does so reasonably (count cap, release links, dates). For a single required ticker tool it is nearly complete, though parameter-level detail remains thin.

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%, so the description must compensate. It explains the limit ceiling ('up to eight reports') but says nothing about the ticker pattern or what limit defaults to. Partial compensation only.

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?

Specific verb+resource ('Research company-reported US earnings') with an enumerated field list (GAAP/adjusted EPS, revenue, margins, segments, guidance, capital allocation) that clearly separates it from siblings like get_company_disclosures and get_earnings_calendar.

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?

Explicit exclusions ('No analyst estimates, beat/miss verdict, full transcript or current stock price') define the boundary and implicitly route the agent to other tools. It stops short of naming a specific alternative sibling, so not a 5.

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