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get_recent_changes

Read-onlyIdempotent

Get a chronological (newest-first) feed of recent Canton Network activity: CIP status changes, new grant proposals, new forum threads, blog posts, GitHub releases, and radar items, merged into one time-ordered stream (default last 7 days). Canton-specific. Not a git/repo changelog. Use for 'what changed/happened on Canton recently'; use get_trending instead for popularity-ranked 'what's hot'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow far back to look, in days, counted from now. Default 7, max 90.
limitNoHow many changes to return, newest first. Default 50, max 200.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / days / description
      Added value: +"How far back to look, in days, counted from now. Default 7, max 90."
    • addedInput schema / properties / limit / description
      Added value: +"How many changes to return, newest first. Default 50, max 200."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds meaningful behavioral context beyond annotations: the feed is merged into one time-ordered stream, defaults to the last 7 days, and includes specific content categories, which informs the agent about the returned data's nature without contradicting any annotation.

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 three sentences with zero filler. The first sentence delivers the core action, content list, and default time window. The second and third sentences add scope differentiation and usage guidance, each earning its place.

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

Completeness5/5

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

For a read-only, two-parameter list tool with strong annotations and 100% schema coverage, the description fully covers what the tool returns, its default behavior, and how it differs from close alternatives. No output schema is needed for this simple feed tool, and the description leaves no significant usage questions unanswered.

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 description coverage is 100%, with both days and limit already fully described in the schema (including defaults, ranges, and meanings). The description only reiterates the default 7-day window, adding no new parameter-level insight, so baseline 3 is appropriate.

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 uses a specific verb ('Get') and resource ('chronological feed of recent Canton Network activity'), enumerating concrete content types (CIP status changes, grant proposals, forum threads, blog posts, GitHub releases, radar items). It explicitly differentiates itself from a git/repo changelog and from get_trending, leaving no ambiguity about its scope.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance: "Use for 'what changed/happened on Canton recently'" and directly names the alternative: "use get_trending instead for popularity-ranked 'what's hot'." It also states a clear exclusion ("Not a git/repo changelog"), making the tool's suitable context unmistakable.

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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