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Glama

Ai Briefing

by io.github.pipeworx-io

Get Ai Toolbelt

get_ai_toolbelt
Read-onlyIdempotent

Get the latest available tools — Claude Code features, MCP servers, SDK updates, CLI tools, integrations. Returns new capabilities since your training cutoff.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLook back N days (default 7)
limitNoMax results (default 15)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
feedYesFeed name
itemsYesTool and framework releases
totalYesNumber of items found
periodYesTime period description
descriptionYesFeed description

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "description": {
+      "description": "Feed description",
+      "type": "string"
+    },
+    "feed": {
+      "description": "Feed name",
+      "enum": [
+        "toolbelt"
+      ],
+      "type": "string"
+    },
+    "items": {
+      "description": "Tool and framework releases",
+      "items": {
+        "properties": {
+          "category": {
+            "description": "Tool category",
+            "type": "string"
+          },
+          "importance": {
+            "description": "Importance level",
+            "type": "string"
+          },
+          "published_at": {
+            "description": "Publication timestamp",
+            "type": "string"
+          },
+          "source": {
+            "description": "Source identifier",
+            "type": "string"
+          },
+          "summary": {
+            "description": "Tool summary",
+            "type": "string"
+          },
+          "title": {
+            "description": "Tool title",
+            "type": "string"
+          },
+          "url": {
+            "description": "Source URL",
+            "type": "string"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "period": {
+      "description": "Time period description",
+      "type": "string"
+    },
+    "total": {
+      "description": "Number of items found",
+      "type": "number"
+    }
+  },
+  "required": [
+    "feed",
+    "period",
+    "description",
+    "total",
+    "items"
+  ],
+  "type": "object"
+}
  2. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "days": 7
+  },
+  {
+    "days": 14,
+    "limit": 20
+  }
+]
  3. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds context on return content (new capabilities, categories), which is useful but not critical given the 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 zero waste. Front-loaded with the core purpose, then lists examples of returned content. Efficient and easy to parse.

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?

Given the simple tool with two optional parameters and an existing output schema, the description provides sufficient context about what the tool returns and why to use it, without needing to explain return format.

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 coverage is 100% and already describes the two optional parameters (days, limit) with defaults. The description adds no additional meaning or usage nuance for parameters.

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 clearly states the tool action 'Get' and resource 'latest available tools', listing specific categories like 'Claude Code features, MCP servers, SDK updates' which differentiates it from sibling tools like 'get_ai_news' or 'discover_tools'.

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?

The description implies usage for discovering new tools since the model's training cutoff, but does not provide explicit guidance on when to prefer this tool over siblings (e.g., discover_tools, get_ai_news) or when not to use it.

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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TDQS

A3.6/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as multiple tools for querying Pipeworx data (ask_pipeworx, ask_pipeworx_grounded, deep_research, validate_claim) and numerous tools for AI news/tools (get_ai_news, get_ai_toolbelt, get_briefing, get_model_landscape, etc.). This will cause an agent to frequently misselect the appropriate tool.

Naming Consistency4/5

Most tools follow a verb_noun pattern in snake_case (e.g., compare_entities, discover_tools, get_briefing). However, a few deviate like 'bet_research' (noun_verb) and 'what_happened' (phrase), but overall the pattern is largely consistent.

Tool Count2/5

38 tools is excessive for a server called 'Ai Briefing', which suggests a focused purpose. The tool count spans multiple domains (AI visibility, Pipeworx queries, Polymarket betting, memory, subscriptions) making it feel overstuffed and unfocused.

Completeness3/5

The tool set covers many aspects of its broad domain (querying, comparing, subscribing, memory), but there are notable gaps: no tool for modifying subscriptions, no user profile management, and the AI news tools overlap rather than cover distinct needs.

Resources