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The door: what an agent should know before it acts on a site

Quickstart: ask before you act

MCP, curl, Python, OpenAI Agents, Claude tool use, LangChain

The signed answer about any domain, laid out for a person

How each named agent behaves on sites, from verified requests

Capability registry

What sites declare agents can do, and what was verified

Verify a record

Check any answer or bundle on your own machine

Before you act

One signed answer, no key.

Read, cite, connect or transact: ask first, verify the receipt offline, keep it with the action.

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The door: scan free, have it fixed, keep it fixed

The checks behind the audit, one at a time

Is your business record right where agents look?

Compare two sites

Two domains, side by side, same measurement

What search and answer engines read from a video

Browser extension

The second vantage point: from your own address, after JavaScript

The record on your phone, with receipts

Your site

Measured as agents see it.

A free A–F audit with every defect named, no account. Fix it, then prove it held.

Developers

The door: the API by lane, the specs, SDKs, keys and quotas

Every endpoint, with a worked example from production

Resolve protocol

The signed answer: what it holds, how to verify it

SDKs: npm and PyPI

Typed clients, the offline verifier, conformance fixtures

The Ed25519 keys every answer is signed with

Every finding the measurement can raise, with its revision

Run the suite against your own implementation

Data

The door: census, conduct, proof and datasets, each with a denominator

Signed decisions, scans and crawler visits, counted

Proof and timestamps

How every record is sealed and anchored

CC BY 4.0 snapshots and the archive

SEO and AI tools, measured

The vendors that measure sites, measured by the same rules

Registry: media kits, llms.txt, entity graphs

Verified machine-readable profiles of real organisations

Learn

The door: guides, findings and the glossary, from measurements

The scan, stage by stage, and what each grade means

How to check one thing, with the rate at which it fails

Dated cases from real scans, with the bytes behind them

Every term the product uses, defined

Who sends each agent, what it reads, how to verify it

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Glossary · Agents and protocols

Tool result

Data returned after an external operation invoked by a model or workflow.

What Tool result means

It should be treated as untrusted input unless the source and schema are verified.

Related terms in Agents and protocols

How autonomous agents plan, remember, call tools and talk to each other, including MCP and A2A, and where each step can go wrong.

protected-resource metadata · token audience · PKCE · refresh token · default scope request · tool poisoning · tool lockfile · MCP rug pull · tool shadowing · MCP preflight · agent manifest · stapled verdict · verdict over DNS · agentic web · preflight · decision receipt · receipt header · action assurance · resolve answer · freshness window · AI agent · Agent loop · Planner · Executor · Agent memory · Working memory · Long-term memory · Episodic memory · Semantic memory · Agent orchestration · Multi-agent system · Agent handoff · Delegation · Tool schema · Tool description · Tool selection · Tool permission · Human-in-the-loop · Human-on-the-loop · Approval gate · Agent sandbox · Agent identity · Agent authorization · Agent discovery · Capability negotiation · MCP server · MCP client · MCP host · MCP resource · MCP prompt · MCP tool · MCP transport · JSON-RPC · A2A protocol · A2A client · A2A server · Agent skill · Agent task · Agent artifact · WebMCP · A2A

Questions about Tool result

What is Tool result?

Data returned after an external operation invoked by a model or workflow.

Which area of the glossary does Tool result belong to?

Agents and protocols: How autonomous agents plan, remember, call tools and talk to each other, including MCP and A2A, and where each step can go wrong.

← Delegation · Tool schema →

See it in the full glossary · 731 terms across 19 areas.