Skip to main content
Glama

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

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 500.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed2 schema fields changed
    • changedInput schema / properties / limit / description
      Previous value: -"How many changes to return, newest first. Default 50, max 200."New value: +"How many changes to return, newest first. Default 50, max 500."
    • changedInput schema / properties / limit / maximum
      Previous value: -200New value: +500
  3. 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."
  4. 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 readOnly/idempotent/non-destructive and closed-world, so the safety profile is covered. The description still adds real behavior: results are merged across heterogeneous sources and returned newest-first, with a default 7-day window and a Canton-only scope. It does not describe pagination or per-item shape, keeping it short of a 5.

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?

Three dense sentences, front-loaded with the resource and scope, then the source list, then the disambiguation. No filler; every clause carries information an agent would otherwise have to guess.

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?

No output schema, no nested objects, and only 2 optional params, so the description's coverage of scope, ordering, sources, and the sibling alternative is sufficient to call it correctly. Nothing essential is omitted.

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% and both parameters (days, limit) are fully documented with defaults and max bounds, so the schema does the heavy lifting. The description only restates the default window ('default last 7 days') and adds no syntax or semantics beyond that.

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?

Specific verb+resource ('chronological feed of recent Canton Network activity') with the merged sources enumerated (CIP status changes, grants, forum threads, blog posts, GitHub releases, radar items). Explicitly distinguishes itself from a git/repo changelog and from get_trending, so an agent can differentiate it from siblings.

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?

Gives an explicit use condition ('what changed/happened on Canton recently') and names the alternative with the condition that selects it ('use get_trending instead for popularity-ranked what's hot'). No inference required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.