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

With no annotations, the description carries the full disclosure burden and does add real value: it states the underlying data source (Form D filings, still-raising), the enrichment layers, the actual date range covered, and that every item carries a source URL. It stops short of disclosing result volume, pagination, latency, or whether the call is billed/rate-limited, which matters for a report-style tool with no output schema.

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 core purpose and scope are front-loaded in the first sentence, and the trailing sentences are short. The enumerated focus list duplicates the schema enum and is the one piece of wasted text.

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 a four-parameter, read-only report tool with no output schema and no annotations, the description covers the essential shape of the return: sourced items, signal layers, and the date range actually covered. Missing details about result count or pagination are minor rather than blocking.

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 75%, so most parameters are already documented in the schema. The description only restates the focus enum values, which is redundant, and says nothing about 'days', 'cities', or the strong/possible tradeoff beyond what the schema already explains. Baseline 3 is appropriate.

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 names a concrete output: a dealflow briefing of US companies that filed Form D and are still raising, enriched with news signals, attention momentum and benchmarks. That is specific enough for an agent to know what it gets back, though it never contrasts itself with siblings such as get_rounds or get_daily_brief.

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?

Usage is only implied by the phrase 'for an investment thesis'; there is no explicit when-to-use, when-not-to-use, or named alternative among the sibling tools. An agent can infer the context but must guess at boundaries.

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