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Feature adoption timeline

feature_adoption
Read-onlyIdempotent

Who shipped a cross-tool feature first (MCP support, subagents, planning mode, hooks, checkpoints, …), which tools followed and their lag in days. Successor to feature_timeline.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "feature": "<feature>"
    },
    "name": "feature_adoption"
  }
}

Input Schema

NameRequiredDescriptionDefault
featureYesFeature id or substring, e.g. mcp-oauth, subagents, planning

Output Schema

NameRequiredDescriptionDefault
objectYes
omittedNo
featuresNo
availableYes
truncatedYes
next_cursorYes
freshness_noteNo
estimated_tokensNo
dataset_updated_atNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world scope, so the safety profile is covered. The description adds that results are ordered by first-ship date and include lag in days, but says nothing about how adoption is measured or how ties/unknowns are handled. Useful but modest added context against already-rich annotations.

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?

Two sentences with no filler: the first defines the output ordering and payload, the second handles the successor relationship. The core answer ('who shipped first, who followed, lag in days') is front-loaded.

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?

For a one-parameter, read-only query with an output schema and full annotation coverage, the description supplies everything needed to call it correctly. Only a hint about scope (tracked tools only? all time?) is absent.

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?

Schema coverage is 100% and the schema already documents the single 'feature' parameter as 'Feature id or substring'. The description slightly reinforces this by naming concrete example values (mcp-oauth, subagents, planning), confirming that loose human-readable names work, though it doesn't restate matching rules such as case sensitivity.

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?

States a specific analysis: who shipped a given cross-tool feature first, which tools followed, and the day-lag. The enumeration of example features (MCP support, subagents, planning mode, hooks, checkpoints) and the 'Successor to feature_timeline' note let an agent separate it from the near-named sibling without opening either schema.

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?

'Successor to feature_timeline' gives an implicit routing rule: prefer this tool over the older one for feature-shipping questions. It does not state any when-not conditions or name other plausible alternatives (e.g. compare_tools for general tool comparison), so the guidance is clear but not exhaustive.

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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