Get current network deployment advisory.
Returns human-readable guidance on what changed recently, urgent upgrades, and actions operators should take. Fetched live from ADVISORY.md in the dpyc-community repo.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the transparency burden. It discloses that the data is fetched live from ADVISORY.md in the dpyc-community repo, indicating a network fetch and external dependency. It does not mention failure modes or safety, but for a read-only tool this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the main purpose ('Get current network deployment advisory') followed by the return value and source. Every sentence earns its place with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless read tool with an output schema, the description fully covers what the tool does, what it returns, and where the data comes from. Complete given its simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema fully covers the input surface. No parameter explanation is needed, and the baseline of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a clear verb-object pair ('Get current network deployment advisory') and expands with what it returns (human-readable guidance on changes, upgrades, actions). This distinguishes it from sibling informational tools like network_versions or service_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use when operators need current advisory info on recent changes and upgrades. It provides clear context but does not explicitly name alternatives or exclusion criteria, though no ambiguity is present.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.