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

Annotations already declare readOnly=true, idempotent=true, openWorld=true, destructive=false, so safety is covered. The description adds genuine behavioral value beyond that: it specifies what the output preserves (URLs, locators, scope, coverage) and that non-inference rules are enforced, which signals research-integrity behavior.

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 sentence with the verb and scope front-loaded and zero filler. It is efficient, though the trailing list of preserved artifacts makes it slightly long for one clause.

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?

For an 8-parameter build tool with no output schema, the description adequately characterizes the returned evidence pack, which is the most important thing. It is missing usage/routing guidance and any note on the undocumented pagination-like parameters, leaving a real gap.

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 63%, in the middle band; the description adds no parameter-level meaning at all. The undocumented parameters (limit, filings, history) are self-explanatory by name, but the description neither compensates nor explains defaults or intent for them.

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 (package) and resource (SEC evidence) with concrete scope: source URLs, locators, search scope, coverage, non-inference rules. An agent understands this produces an evidence deliverable for a downstream agent. It does not, however, distinguish itself from siblings like search_evidence or verify_claim.

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 phrase 'for an upstream AI agent' hints at context, but there is no explicit when-to-use, no when-not-to-use, and no alternative named among the ten sibling tools (search_evidence, verify_claim, etc.). The agent must infer routing on its own.

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