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ICONIC Agent-Native Marketplace — Seven Specialist Services

Preflight

marketplace_preflight
Read-only

Free service-fit checklist using a nonconfidential scope summary; no execution.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "offer_id": "<offer_id>",
      "workflow_summary": "<workflow_summary>"
    },
    "name": "marketplace_preflight"
  }
}

Input Schema

NameRequiredDescriptionDefault
offer_idYes
workflow_summaryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already cover read-only, non-destructive, and closed-world, so the description is not obligated to restate safety. It still adds real behavior beyond them: the call is free (no cost/billing impact) and the supplied material must be nonconfidential, which is an input-handling constraint the agent could not learn from the schema or annotations. It does not describe what the checklist output looks like or any limits on summary length.

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 compact clause with the key qualifiers front-loaded (free, checklist, nonconfidential, no execution) and no filler. It is arguably too compressed, reading as a fragment rather than a sentence, but nothing is wasted.

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

Completeness2/5

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

With no output schema and 0% parameter documentation, the description should explain what the checklist contains and how offer_id is used. It says only 'checklist', leaving the response shape and the second required parameter entirely opaque, which is thin for a two-required-parameter tool whose result the agent must then act on.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry all parameter meaning. 'nonconfidential scope summary' does add guidance for workflow_summary (content should be a scope summary and must be sanitized), but offer_id is never mentioned, so half the required surface is unexplained.

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 a concrete deliverable (a free service-fit checklist) and states its scope constraint (a nonconfidential scope summary) plus the key non-execution property. It is not verb-led and never says whether the checklist is generated, evaluated, or returned, but an agent can still tell this is an assessment step rather than a transactional one.

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?

'no execution' implies this is the pre-step before action, which is useful situational framing. However, no sibling is named as the alternative to use when the agent actually wants to proceed (e.g. begin_checkout, quote, get_offer), and no explicit when-not condition is given, so the routing must be inferred.

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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