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AILANG roadmap

roadmap
Read-onlyIdempotent

What's shipping next, what's been rejected and why.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "roadmap"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already establish readOnly, idempotent, non-destructive, and closed-world, so safety is covered. With no output schema, the description should carry the burden of describing the return shape — whether this is a static curated list, how planned vs rejected items are separated, and whether reasons are attached to every rejection — but it says nothing beyond the one-line teaser. Nothing contradicts the annotations, but little is added.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

There is zero wasted wording, but the definition is under-specified rather than concise: a single fragment with no lead verb and no supporting structure. It is front-loaded but too thin to orient an agent reliably.

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

Completeness3/5

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

For a zero-parameter, read-only, non-destructive lookup with no output schema, the description gives a usable hint about the two content buckets (upcoming and rejected-with-reasons). However, it never states what a returned item looks like or whether the response is a single document or a list, which is exactly the gap a description must fill when no output schema exists.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly implies an unfiltered, no-argument retrieval, and there is no parameter meaning to clarify.

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

Purpose3/5

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

The sentence 'What's shipping next, what's been rejected and why' does convey the content of the resource — planned work plus rejected proposals with rationale — but it is a noun-phrase fragment that leans on the title 'AILANG roadmap' rather than stating a verb and scope itself. An agent can guess it returns roadmap data, but it never says 'returns' or 'lists', and it doesn't distinguish this from sibling resources like design_doc or changelog_for_version.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all: no mention of when to consult the roadmap versus changelog_for_version (shipped changes), design_docs_list (planned designs), or limitations_list (known gaps). The agent must infer the selection rule from names alone.

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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