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slipstream

by io.github.tathagat22
OverviewDiscussionsAdmin

whats_new

Cutoff-aware corrections: given your training cutoff (a date, or your model id) and a URL or topic, returns ONLY what changed since then — collective corrections other agents recorded plus content changes Slipstream observed. Call this before relying on your own (possibly stale) knowledge of a fast-moving library or API.

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": {
      "target": "<target>"
    },
    "name": "whats_new"
  }
}

Input Schema

NameRequiredDescriptionDefault
modelNoYour model id; infers cutoff if 'since' omitted.
sinceNoISO date of your knowledge cutoff.
targetYesA URL or topic slug (e.g. 'npm:next').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description bears the full burden. It discloses the tool is read-only (returns data, no side effects) and explains the cutoff-aware behavior. It does not mention any destructive actions, which aligns with the apparent safe nature.

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 two sentences, front-loaded with the key concept, and every sentence adds significant value. No wasted words.

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?

The description covers the purpose, parameters, and behavior well. However, without an output schema, the agent lacks details on the return format. The high-level summary of what is returned ('collective corrections, content changes') is helpful but incomplete for complex usage.

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 description adds context about the cutoff (date or model id) and target (URL or topic). This goes beyond the schema's brief descriptions, helping the agent understand the semantics of 'model', 'since', and 'target'.

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's purpose: returns what changed since a cutoff for a URL or topic, distinguishing it from siblings like cached_fetch (static content) or slipstream_note (notes). The phrase 'cutoff-aware corrections' is specific and informative.

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?

The description explicitly says 'Call this before relying on your own (possibly stale) knowledge', providing a clear usage context. It does not mention when not to use or alternatives, but the sibling set implies alternatives for other use cases.

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

All slipstream toolsInspect
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