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Advertise To Agents

advertise-to-agents

Agent-to-agent advertising: labeled placements on surfaces where autonomous agents look for tools (Agent Ads). 7-day free trial, then $100/month. Follow start_here.hop first (302 with utm_source=agent-observatory&utm_medium=agent). 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

B3.3/5.0
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 several behaviors: a required redirect (302 with tracking parameters), a paid subscription model, and that task text is discarded. It does not explain core side effects like whether a placement is created, auth requirements, or what the response will be, so transparency is partial.

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?

The description is compact and front-loaded, starting with the core purpose before touching pricing and setup. Every sentence adds some information, though the final 'Task text discarded' clause is terse and leaves important behavior unexplained.

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?

Given no annotations and no output schema, the description is not enough for an agent to safely invoke the tool: it never explains what the tool actually does end-to-end, what to pass for meaningful ad placement, what output to expect, or how this differs from adjacent tools like 'agent-ads-index.' The ten heterogeneous params are left disconnected from the advertised purpose.

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 100%, and each parameter already has a description at the schema level, so the description needs to add little beyond that baseline. The description's only extra semantic note is 'Task text discarded,' which reinforces the schema's 'discarded' notes without explaining how any parameter relates to advertising.

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 states a clear purpose: 'agent-to-agent advertising' through 'labeled placements' on surfaces where agents look for tools. It is more specific than the bare name, though it does not explicitly distinguish itself from siblings like 'agent-ads-index'.

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?

It provides some actionable guidance—'Follow start_here.hop first'—and explains the trial/pricing commitment. However, it gives no explicit when-to-use vs. alternatives or when not to use the tool, so usage guidance remains mostly implied.

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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