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Trusted Vendors

List startup packs

get_packs
Read-onlyIdempotent

Startup packs: the tools a startup needs at a stage (early-stage, AI, fundraising, first hires, compliance, go-to-market, seed to Series A ops), each with its vendors, audience, number of public deals and total deal value. Picks are chosen by data from the Proven Trust Index.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_packs"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety bar is low. The description adds real context beyond them: the per-pack payload (vendors, audience, public deal count, total deal value) and the fact that picks are ranked by data from the Proven Trust Index, which explains why the list is ordered as it is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense sentence with the subject front-loaded ('Startup packs:') and the payload described after the category list. The long parenthetical of stages is bulky but each item is informative; there is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must convey return content and it does: it names the four fields per pack plus the ranking basis. The only gap is whether the whole catalog is returned and in what shape/order, which is minor for a no-argument listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the schema baseline is 4 and there is no parameter semantics to explain. Nothing in the description is needed to clarify inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description defines the resource precisely ('the tools a startup needs at a stage') and enumerates the pack categories and the fields each pack carries, so an agent knows what comes back. It never states the verb explicitly (the title 'List startup packs' carries that) and does not distinguish the plural from the sibling get_pack, which keeps it short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: a zero-parameter tool that returns the pack catalog is obviously a 'list everything' call. There is no explicit when-to-use statement and no routing advice such as using get_pack for a single pack or find_vendors for vendor lookups, so an agent must infer the boundary with siblings.

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

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