list_projects
List the newest open projects raising on Hiveround. Returns at most 25.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| stage | No |
List the newest open projects raising on Hiveround. Returns at most 25.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| stage | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses key behaviors: returns newest open projects raising, capped at 25. This goes beyond the schema to inform agent behavior, though it omits read-only or authentication details.
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 concise with two sentences, front-loading the core purpose. Every sentence contributes value without redundancy.
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?
Given two parameters, no output schema, and no annotations, the description is insufficient. It lacks details on parameter effects, ordering, filtering, and return structure, leaving significant gaps.
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 0%, yet the description adds no explanation for either parameter (limit, stage). It only alludes to the maximum return count, failing to clarify the parameters' purpose or usage.
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?
Description clearly states the tool lists newest open projects raising on Hiveround, with a specific maximum return. It uses a specific verb and resource, distinguishing it from sibling tools like search_projects.
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 implies usage for retrieving a quick list of recent projects but does not provide explicit guidance on when to use versus alternatives like search_projects or get_project.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action on a specific resource (commitments, intros, projects, watches) with no overlap. For example, list_projects vs search_projects differ by filtering, and list_watches vs watch_project are clearly separate.
All tools follow a consistent verb_noun pattern in snake_case, e.g., acknowledge_commitment, list_projects, update_watch. The verbs are imperative and the nouns clearly indicate the resource.
14 tools cover the core interactions of a fundraising platform—project discovery, pipeline management, intros, and commitments—without being bloated or insufficient.
The tool set covers the investor and founder journey well, but lacks project creation/update tools for founders, which is a minor gap given the server's focus on round interactions.