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IRIS: startup intelligence

get_voices

Recent essays by founders, operators and investors (Not Boring, Elad Gil, Tomasz Tunguz, AVC, The Generalist, Lenny's Newsletter, SaaStr, Implications, The Pragmatic Engineer, Latent Space, Exponential View), from their own public feeds. Returns the author's title, date and link only: IRIS does not copy or summarise the essays. Opinion, not verified fact.

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_voices"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNo1-30, default 14
roleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two genuinely useful behaviors: only title, date and link are returned (no copying or summarising), and the content is opinion rather than verified fact. It omits ordering/recency guarantees, rate limits, source-failure behavior, and whether the 'days' window filters by publish date.

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?

Front-loaded with the resource and scope, followed by the return shape and the opinion caveat; every clause is doing work. The long parenthetical source list is dense but legitimately defines coverage.

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?

For a two-parameter, low-complexity read tool with no output schema, the description covers what comes back (author title, date, link) and the nature of the content, which is the main gap risk. It falls short only on how 'role' filters results and how 'days' interacts with feed recency.

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

Parameters3/5

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

Schema coverage is 50%: 'days' is fully documented in-schema and 'role' has an enum but no description. The description's role framing ('founders, operators and investors') only partially maps to the enum (investor/operator/analyst) — it mentions 'founders' which is not an enum value and omits 'analyst', leaving a mismatch the agent must resolve.

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 names the concrete resource (recent essays by founders, operators and investors) and enumerates the source feeds, so an agent knows exactly what content comes back. It does not explicitly contrast itself with siblings like get_wire or get_market, which are the nearest peers in a news/feeds family, so the differentiation is left implicit.

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: 'recent essays' plus the 'Opinion, not verified fact' caveat signals this is for commentary/opinion retrieval rather than factual news. There is no explicit when-to-use versus when-not, and no named alternative (e.g. get_wire for verified news) to select against.

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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