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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered; the description goes well beyond that with matching semantics (case-insensitive, every query word must appear, exact set of fields scanned), sort order (newest record_date first), the default reviewed-only filter, and the meaning of an empty result set. These are exactly the behavioral traits an agent cannot infer from the annotations.

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?

Front-loaded with purpose, then mechanics, then edge-case routing and scope exclusions, with no filler sentences. The middle portion is dense and runs long in a single block, which slightly hurts scannability, but every clause carries operational information.

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 six optional parameters, two enums and an output schema, this definition covers the decisions an agent must make: how matching works, what the default filter hides, how results are ordered, and what to do when nothing comes back. Enumerating result fields is mildly redundant against the output schema but reinforces citability of returned records.

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%, so the baseline is 3; the description still adds real meaning by explaining that `query` is an all-words AND match across specific fields and that omitting it degrades to a filtered listing, and by restating the tier default's practical effect. It does not elaborate on `since`/`type` beyond what the schema already says, which is acceptable given full coverage.

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 ("Search Seraphix public records") and immediately qualifies the corpus: dated, source-linked statements from SEC filings, statutes and official codes about covered companies and state data-center policy. It also bounds the scope negatively ("No news, prices or information about individuals"), so an agent can tell what this tool will and will not return without opening the schema.

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?

Gives clear routing for the most important edge case: an empty result means a coverage gap, not a factual absence, and the agent should call get_coverage. It also explains how to list rather than search (omit `query`) and how to widen scope (tier "all"), and points to list_companies for the company filter. It stops short of distinguishing this tool from get_record or get_filings_wire, which is the remaining gap.

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