startup_vc_dealflow_yc_github_radar

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It reveals the data sources and the general discovery purpose, but it does not state whether results are read-only, how "high-traction" is determined, whether sources are combined or queried separately, or whether there are rate limits or freshness constraints.

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 a single, front-loaded sentence that states the core purpose and sources without unnecessary wording. Every element contributes to identifying what the tool does.

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?

The description identifies the domain and source coverage, but with no annotations and no output schema, it does not explain the result format, ranking behavior, or how multi-source results are structured. It is adequate for a simple optional-parameter discovery tool but leaves meaningful behavioral context unstated.

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%, and each parameter is already documented in the schema. The description reinforces the available sources but adds no extra meaning for the keyword or maxResults parameters, so it meets the baseline for high schema coverage without exceeding it.

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 uses a specific verb, "Discover," and names the exact resources: high-traction startups and open-source developer tools across Y Combinator, GitHub Trending, and Hacker News launches. This clearly separates the tool from the unrelated sibling tools, so an agent can identify its domain without ambiguity.

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 clear usage context by naming the three deal-flow sources and the type of discovery it supports. It does not include explicit exclusions or say when to prefer another tool, but no sibling tool covers this startup/developer-tool discovery use case, so the missing alternatives are not a major gap.

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