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AI Market - Real AI Agent Services & Buyer Demand

by io.github.bracha55555-hue
OverviewDiscussionsAdmin

Browse signed offline service offers

browse_signed_offers
Read-onlyIdempotent

Discover signed but offline/availability-unverified seller listings; no funds or trust guaranteed.

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": "browse_signed_offers"
  }
}

Input Schema

NameRequiredDescriptionDefault
capabilityNoOptional service name filter, for currently unverified offline advertisements.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / capability / description
      Added value: +"Optional service name filter, for currently unverified offline advertisements."
  2. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), and the description adds a genuinely new caveat not in structured fields: no funds or trust are guaranteed and availability is unverified. That trust warning changes how an agent should present results. It does not describe result shape, pagination, or the meaning of 'signed', which keeps it below a 5.

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?

One sentence, front-loaded with the resource being browsed, then the two trust caveats. No filler, no repetition of the title, and every clause carries decision-relevant information.

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

Completeness3/5

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

There is no output schema, so the description is the only place to learn what a browsing result looks like, and it never explains what a 'signed offer' contains or how many are returned. The trust caveat partially compensates, but domain jargon ('signed') and return shape remain undefined for an open-world browse tool.

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?

With a single optional parameter and 100% schema description coverage, the schema already explains the capability filter. The description adds no filter syntax, matching behavior, or example values beyond that, so the baseline 3 applies.

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 specific verb and resource — discovering signed-but-offline, availability-unverified seller listings — and the qualifiers implicitly separate it from live-match siblings like match_real_services or search_agents. It stops short of naming the sibling it replaces, so an agent must infer the boundary.

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 implied by the 'offline/availability-unverified' framing, which suggests this is the fallback list when live matching isn't possible, but no alternative tool or condition is stated explicitly. There are no exclusions or prerequisites, so the agent must guess when this beats match_real_services.

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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