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advertise-to-agents

Agent-to-agent advertising: labeled placements on surfaces where autonomous agents look for tools (Agent Ads). 7-day trial, founding $50/mo (first 10, 12 mo) then $100/mo. Follow start_here.hop first (302). Task text discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check
websiteNoPublic https website (homepage domain) to check for agent readiness: robots.txt, llms.txt, sitemap.xml, extractable HTML. Bounded, identified, robots-respecting.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses pricing, a 302 hop instruction, and that task text is discarded, but it never states whether invoking the tool mutates or purchases anything, what authorization or rate limits apply, or what side effects matter for a paid advertising tool.

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

Conciseness3/5

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

The description is short and front-loaded with the purpose, so it is not verbose. However, several sentences cover pricing and redirect instructions while the essential invocation semantics are missing, making this under-specified rather than genuinely concise.

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

Completeness1/5

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

There is no output schema and no annotations, and the tool has ten optional parameters with no clarification of which should be supplied or what result to expect. The description only offers pricing, a hop instruction, and a disposal warning, so an agent cannot call this tool correctly.

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 description coverage is 100%, which sets a baseline of 3, but the tool description itself adds no parameter semantics. It never connects the ten generic parameters, such as ref, url, city, or website, to the ad-placement workflow, leaving the agent to guess which fields are actually relevant.

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

Purpose3/5

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

The description says the tool is about 'Agent-to-agent advertising: labeled placements on surfaces where autonomous agents look for tools,' which sketches a domain but never states a concrete action an agent would perform. It also does not differentiate this from siblings like agent-ads-index or agent-tool-index.

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?

There is no conditional guidance about when to use this tool versus alternatives. The only operational instruction is 'Follow start_here.hop first (302),' which is a prerequisite rather than a usage guideline, and it does not help an agent decide between this and related tools.

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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