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Roast an AI agent idea

roast_idea

Get the full whycantwehaveanagentforthis.com roast for an AI agent idea: the verdict tier, an agent-readiness score (0-100 + band), the top OWASP-MCP security risk, the "you're the X% who…" framing, and a shareable /result URL. Every call mints a real, persistent result page (its own OG share card) — so roasting from your IDE also publishes it. Anonymous (no token): 3/hour, 10/day. Add a token for higher limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaYesThe agent idea or problem to analyze, in one or two sentences. e.g. "an agent that auto-declines pointless meetings".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
verdictYesReal VerdictTier enum value, e.g. SHUT_UP_AND_TAKE_MY_MONEY
agentNameYes
resultUrlYesCanonical /result/[id] share URL
savageLineYes
topRiskCodeYesTop OWASP-MCP risk code, e.g. MCP-3
scopeCallUrlYesCal.com 20-min scope-call URL
topRiskTitleYes
verdictLabelYes
readinessBandYesLetter band A-F
readinessScoreYesAgent-readiness 0-100
percentileFramingYes"You're the X% who…" line

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden. It explicitly discloses that every call mints a real, persistent result page with an OG share card, meaning roasting also publishes the idea publicly from the IDE. It also discloses rate limits (anonymous: 3/hour, 10/day; token raises limits). This is strong behavioral disclosure beyond typical descriptions.

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

Conciseness5/5

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

The description is three sentences with no filler. It front-loads the main output, then the critical side effect, then rate limits. Every sentence earns its place.

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

Completeness5/5

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

The description is complete for the tool's complexity: it covers the side effect of publishing, rate limits, and authentication note (anonymous vs token). Since an output schema is present, return values don't need to be spelled out. The only minor gap is absence of explicit privacy details, but 'mints a real, persistent result page' clearly implies public visibility.

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?

The input schema already provides 100% coverage with a description and example for the single 'idea' parameter. The tool description does not add parameter-specific semantics, but it doesn't need to; the schema does the heavy lifting. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool 'Get the full whycantwehaveanagentforthis.com roast' and enumerates specific outputs (verdict tier, score, security risk, framing, URL), making the verb+resource+scope explicit. It distinguishes itself from siblings like get_verdict by emphasizing the comprehensive nature and persistent result page.

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

Usage Guidelines2/5

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

The description does not provide explicit guidance on when to use this tool versus siblings like get_verdict or browse_explore. It lacks 'use this when...' or 'instead of...' statements. The presence of sibling tools makes this a gap, as users must infer the tool's role solely from its name and output list.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a distinct purpose: browse_explore lists existing roasts, get_stats returns site-wide metrics, get_verdict retrieves a specific roast, and roast_idea creates a new roast. There is no overlap between these operations, and the descriptions reinforce the boundaries.

Naming Consistency5/5

All tool names follow a clear verb_noun pattern: browse_explore, get_stats, get_verdict, roast_idea. The verbs are action-oriented and the nouns are logical objects, making it easy to predict what each tool does.

Tool Count5/5

Four tools is well-scoped for this server's purpose: explore, retrieve, create, and stats. Each tool earns its place, and the count is neither too thin nor overly heavy for the domain.

Completeness5/5

The tool set covers the full lifecycle of the domain: browsing existing roasts, fetching a specific verdict, creating a new roast, and viewing site statistics. There are no obvious dead ends or missing core operations.

Resources