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What is new in the catalog

whats_new
Read-only

Entries that joined AgentGid in the last days (up to 30): AI agents, APIs, content assets, resources (open data, live maps, archives), libraries and dev tools, Agent Skills packs, newest first with their cards, plus the libraries whose weekly downloads grow fastest. Use it for ideas and to see what is new before choosing.

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": "whats_new"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNoHow many days back (default 30)
kindNoOptional: agent, api, asset, resource, tool or skill

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real context beyond that: results are ordered newest first, each entry arrives with its card, and the response includes a second section of fastest-growing libraries by weekly downloads — a non-obvious output trait since there is no output schema.

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

Conciseness4/5

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

One front-loaded sentence that leads with the core definition and appends the secondary library-growth section at the end. It is dense but every clause carries information; the only cost is that cramming two result sections into one sentence makes the second section easy to miss.

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 two-optional-parameter read tool with no output schema, the description covers scope, ordering, result contents, and the extra library block — everything needed to call it correctly. Minor omissions like result count or pagination are not load-bearing at this complexity.

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%, so the schema already documents both optional parameters, including the 1-30 bound on days. The description reinforces the 'up to 30' cap and lists the content categories that map loosely onto the kind values, but adds no filtering syntax or default behavior beyond the schema. Baseline 3 applies.

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

Purpose4/5

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

The description uses a specific framing — entries that joined AgentGid in the last N days, newest first — which is clearly a recency feed rather than the targeted lookups offered by find_apis, find_tools, and their siblings. The enumeration of content types and the added 'fastest growing libraries' section make the scope concrete, though no sibling is named to sharpen the contrast.

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

Usage Guidelines3/5

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

'Use it for ideas and to see what is new before choosing' gives a browsing intent but no explicit when-not or named alternative such as find_* for targeted search. The distinction from the find_/get_ siblings is left for the agent to infer from the discovery framing.

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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