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register_operator

Register a new Operator in the DPYC community registry.

Called by an Authority service after the operator requests registration. The Authority validates the operator's identity and sponsors the registration by calling this tool via MCP-to-MCP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
service_urlYesPublic MCP endpoint URL of the Operator service.
display_nameYesHuman-readable name for the Operator service.
operator_npubYesNostr npub of the new Operator.
authority_npubYesnpub of the sponsoring Authority (must already exist as an authority or prime_authority in the registry).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior3/5

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

Annotations are absent, so the description carries the full burden. It does disclose that this creates/registers an Operator entry, that the caller must be an Authority, and that sponsorship follows validation. However, it doesn't state side effects (e.g., a registry record is created), idempotency, failure behavior, or permission requirements beyond the caller being an Authority. Partially transparent but incomplete.

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?

The description is two short paragraphs: the first sentence states the purpose directly, the second gives the necessary workflow and caller context. There is no filler or redundant repetition of schema information.

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

Completeness4/5

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

With no annotations and an output schema present, the description provides the essential invocation context (Authority-sponsored, after operator request) and all parameters are fully documented. Minor gaps remain: error behavior, idempotency, and explicit side effects are not described, but for a registration step in a well-defined workflow the description is nearly complete.

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% with each parameter having a concise description, so the schema already documents the four parameters. The description adds no extra parameter-level meaning, so the baseline of 3 applies.

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

Purpose5/5

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

The description opens with a specific verb and resource: 'Register a new Operator in the DPYC community registry.' It also clarifies the caller and workflow ('Called by an Authority service after the operator requests registration'), which distinguishes it from sibling tools like register_authority, register_advocate, update_operator, and deregister_operator. No ambiguity about the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly states when this tool should be invoked: after the operator requests registration, by an Authority service that validates identity and sponsors the call via MCP-to-MCP. This is clear workflow context, though it doesn't name alternative tools or exclusion cases, so it stops short of a perfect 5.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools target a distinct resource or lifecycle step: role-specific registrations, campaign tools, relay tools, and doc/status tools are clearly separated. Minor overlap exists between lookup_member/resolve_service and about/get_rulebook, but the descriptions are detailed enough to route an agent correctly.

Naming Consistency4/5

Almost all tool names use lowercase snake_case with a verb_noun structure (register_*, get_*, list_*, update_*, report_*). A few noun-phrase doc/status tools like about, economic_model, network_advisory, and service_status deviate, but the overall pattern remains readable and predictable.

Tool Count2/5

At 30 tools, this surface is heavy and exceeds the 25-tool threshold, especially for what is mostly a registry/oracle service. Several tools are explicitly not yet implemented, and the count would benefit from deferring those stubs or consolidating related doc/resolution tools.

Completeness3/5

Core areas are covered: member lookup, role registration, operator updates, campaigns, relays, governance docs, and status/advisory queries. However, some workflows are stubs (ban elections, citizen renouncement) and lifecycle gaps remain for authority/advocate updates or deregistration, plus no ban-election status/result tool exists.