get_rfcFetch one public RFC round by id (e.g. "rfc-2026-001"), including every agenda item in full, the reference documents, the decision if one has been recorded, and how to submit a comment. Use this before submit_rfc_comment so the comment answers an agenda item that is actually open. CC BY 4.0.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | RFC id, e.g. "rfc-2026-001". |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and non-destructive hints, so the safety profile is covered. The description adds valuable behavioral context: it returns all agenda items in full, the decision if recorded, and comment submission instructions. The CC BY 4.0 note also informs the agent about licensing constraints, which is not in annotations.
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 core fetch behavior, then the usage guidance, and the license note. Every sentence earns its place with no redundancy or filler.
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 simple one-parameter, read-only tool with no output schema, the description is complete: it explains the input format, the exact return contents, the intended use case, and licensing. Given the low complexity and rich annotations, nothing important is missing.
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?
Schema description coverage is 100% and the schema already explains the 'id' parameter with the same example ('rfc-2026-001'). The description repeats this example but adds no new semantic information beyond what the schema provides, so the baseline score of 3 is appropriate.
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 uses the specific verb 'Fetch' and identifies the resource as 'one public RFC round by id', listing the exact contents (agenda items, reference documents, decision, comment instructions). This clearly distinguishes it from siblings like list_rfcs (which lists multiple) and get_paper (a different resource type).
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 provides explicit usage context: 'Use this before submit_rfc_comment so the comment answers an agenda item that is actually open.' This tells the agent when to use this tool relative to a sibling. It does not explicitly exclude alternatives like list_rfcs, but the context is clear enough for a single-item fetch.
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.
Each tool targets a distinct resource or action: fetching items vs. distributions, listing vs. fetching specific entities, and distinct submission endpoints for benchmark, eval, and RFC comments. Even the two 'get items' tools (bench vs. eval) are clearly differentiated by their descriptions and use cases.
All tool names follow a consistent verb_noun pattern with lowercase and underscores. Verbs are grouped by action type (get_, list_, submit_, start_, register_, verify_, search_), and the patterns are predictable and uniform across the set.
At 17 tools, the set is slightly above the ideal 3-15 range but each tool serves a distinct purpose. The breadth of the domain (papers, RFCs, standards packs, benchmarks, evaluation, certification, vocabulary, search) justifies the count, and no tool feels redundant.
The tool surface covers the major workflows: listing and fetching resources, starting and submitting evaluation attempts, registering and verifying certifications, and submitting benchmark/RFC responses. Minor gaps exist, such as no direct tool to cancel an evaluation attempt or list a specific benchmark run by id, but these are edge cases and the core lifecycle is well-covered.